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RISC-V Day Tokyo 2026 Spring

Thursday, March 5, 2026
9:00–18:00 Japan Standard Time (UTC+9)
Click here for attendees to register (Peatix)
Click here to submit your proposal (Talks / Posters) — Proposals will undergo a selection process
Click here for the Call for Sponsors: Presentations & Exhibits

Venue Layout

CONFERFENCE A @Ito Memorial Hall (Click thumbnail to expand the picture)

時間
写真

発表題目
発表概要

発表者
経歴

13:30-14:00

Standard Cell Library Development and Design Infrastructure Establishment for the 2nm Process at Rapidus — Powered by Raads
 Standard cells are small fundamental circuits composed of a single logic gate or up to a dozen gates. Only when a library containing several hundred types of such cells is properly prepared can full SoC design be realized. A complete cell library must include the various models and views required by EDA tools, such as electrical characteristic models, HDL models for logic simulation, and physical views including LEF/DEF and GDS-II for place-and-route.
 At Rapidus, within the Raads (Rapidus AI-Assisted Design Solutions) design environment, standard cell library development is a foundational element of the 2nm design infrastructure. While user-facing production libraries are outsourced to a third party (Synopsys), Rapidus also develops in-house libraries to support internal evaluation, validation, and benchmarking of external libraries. (Note: Presentation title and abstract prepared by the organizer.)

Koki Tsurusaki | Director, Design Technology Division, Engineering Center, Rapidus Corporation
 Koki Tsurusaki was involved in semiconductor physical design and floorplanning technology development at Renesas Electronics and is listed as an inventor on patents related to design optimization methodologies. He currently serves as Director of the Design Technology Division at Rapidus Corporation, where he leads the development of the AI-enabled design environment “Raads” and the establishment of design infrastructure for advanced process technologies.

 

14:00-14:30

Open Silicon for the AI Era: Tenstorrent and AI Everywhere
 As the business environment is rapidly transforming with the rise of AI, strengthening Japan’s market competitiveness has become an urgent priority. This requires advances not only in semiconductor manufacturing, but also in key chips, software, and human resource development.This talk introduces Tenstorrent’s open and advanced technology solutions and their role in building a competitive AI and semiconductor ecosystem.

Mamoru Nakano, APAC Region Manager & Japan Country Manager at Tenstorrent
Since the company’s establishment in January 2023, he has been leading its business expansion and organizational development in the Japanese market. Prior to joining Tenstorrent, he served as Country Manager of Graphcore Japan, overseeing sales, marketing, and customer engagement. Before that, he spent approximately 16 years as President and Representative Director of Cray Inc. Japan, driving the HPC business and supporting growth across the Asia region. Earlier in his career at HP, he held the role of General Manager for HPC and Linux business across Asia, building a long-standing track record at the forefront of high-performance computing and cloud infrastructure.

14:30-15:00

SiFive 2nd Generation Intelligence Family Introduction
 This talk presents the second generation of the SiFive Intelligence Family, a suite of RISC-V-based AI accelerator IP cores. These cores support efficient edge AI acceleration across applications from low-power far-edge devices to cloud-scale systems. Built on the open RISC-V standard with custom extensions, the family ensures compatibility with the RVA23 profile, enabling seamless integration with custom accelerators for AI inference, large language models, and related workloads.

Yoshihito Kondo | Representative director, SiFive Japan
 Yoshito Kondo is a semiconductor industry leader serving as CEO of SiFive Japan, the Japanese subsidiary of U.S.-based SiFive. He joined Sony Corporation in 1990, where he was engaged in the development of system LSIs, including media processors. In 2019, he moved to DTS Insight Corporation, where he was involved in SiFive’s distribution and technical support activities in the Japanese market. He joined SiFive Japan in October 2022, initially overseeing technical support including field application engineering, and later assumed leadership of the company, driving the adoption and business expansion of RISC-V processors.

15:00-15:30

Software Guided Intelligence for Physical AI Platform Design with RISC-V
 In this presentation, Takuya Katayama will show how the change from hardware-first to software-first platform architecture is driving changes for embedded design. With RISC-V and the power of virtual models, it is now possible to start with the workload, select and optimize the hardware, and finalize the platform without time-consuming, budget-busting tape-out cycles. The appearance of software-guided intelligence is enabling changes in design methodology that deliver faster time to market, lower total cost of development, and more efficient edge silicon. This is supported by the open, modular and extensible nature of RISC-V instruction set architecture for building workload-focused instructions and extensions.

Takuya Katayama, MIPS Technical Marketing for Software & Tools
Mr. Katayama is regarded as a business leader in the semiconductor industry who is involved in the product management domain at MIPS. Within the company’s processor and platform ecosystem, built around its RISC architecture IP, he plays a role related to software and tools strategy. He is engaged in activities that bridge technology and market needs in the embedded and semiconductor sectors.

15:30-16:00

Powering the Future of Compute with Andes RISC-V
 The future of computing is being dramatically transformed by open and scalable architectures. Evolution in the fields of AI, edge, and cloud requires flexible and optimizable designs, and RISC-V is a core technology for this.
In this presentation, Frankwell Lin, CEO of Andes Technology, will introduce the latest trends and strategies for RISC-V, which is being put into practical use at the commercial level. He will explain how customers can develop differentiated products more quickly through high-performance, low-power processor IP, vector extensions, and a powerful software ecosystem.

Frankwell Lin, Chairman & CEO of Andes Technology (Taiwan)
 Frankwell Lin, Chairman of Andes Technology, started his career being as application engineer in United Microelectronics Corporation (UMC) while UMC was an IDM with its own chip products, he experienced engineering, product planning, sales, and marketing jobs with various product lines in UMC. In 1995, after four years working on CPU chip product line as business director, he was transferred to UMC-Europe branch office to be its GM when UMC reshaped to do wafer foundry service, he lead UMC-Europe to migrate itself
from selling IDM products to selling wafer foundry service. In 1998, after 14 years working in UMC, Frankwell switched job to work in Faraday Technology Corporation (Faraday), he lead ASIC business development as starting, then on-and-off leading ASIC implementation, chip backend service, IP business development, industry relationship development (IR), as well as Faraday's spokesperson, in 2004, he started to lead the CPU project spin off operation of Faraday. Frankwell became co-founder of Andes Technology Corporation in
2005 when it was found up, he formally took position to be Andes' President since 2006 and got promoted as Chairman and CEO in 2021.
 Frankwell received BSEE degree of Electrophysics from the National Chiao-Tung University, Taiwan, and MSEE degree of Electrical and Computer Engineering from Portland State University, Oregon, USA. Under his management, Andes has been recognized as one of leading suppliers of embedded CPU IP in semiconductor industry. Andes also won the reputation of leading technology company with awards such like 2012 EE Times worldwide Silicon 60 Hot Startups to Watch, 2015 the Deloitte Technology Fast 500 Asia Pacific award, etc. Frankwell received accolade award of Outstanding Technology Management Performance, Taiwan, in 2015 and ERSO award in 2020 for his contribution to the high-tech industry. Frankwell is the Board Director of RISC-V International since 2020. Frankwell was also
elected to be the Chairman of RISC-V Taiwan Alliance (RVTA) since 2023.

16:00-16:20


A Case Study of Custom AI Accelerator Development Using RISC-V
This article uses actual examples to introduce the role RISC-V has played in developing a custom AI accelerator for FPGAs at Future, as well as the flexibility of customization made possible by RISC-V’s open architecture.

Yuki Miyashita | Future Corporation ki-labs | FPGA Lead
At a general electric manufacturer, he worked on FPGA development for autonomous driving and medical equipment, pursuing system design with high reliability, low latency, and real-time processing. Leveraging his expertise, he is currently a member of Future Corporation’s in-house R&D organization, “ki-labs,” where he leads the design and development of hardware acceleration as an FPGA lead.
Shu Kitamoto | Future Corporation ki-labs | Software Engineer
After working on business systems development at an SIer, he is now a member of Future Corporation’s “ki-labs.” As a software engineer, he is responsible for implementing the processor instruction issuing layer. He pursues faster AI inference by optimizing the boundary between higher-level software and hardware. His hobby is competitive programming (AtCoder Blue).
Ryuji Fuchikami | Future Corporation ki-labs | Architect
Graduated from Kyushu Institute of Technology in 1999. He has worked in the research and development department of a major electronics manufacturer for over 20 years, establishing image sensing and ultra-high-speed, low-latency real-time signal processing technologies. He specializes in the boundary between hardware and software, and has pursued optimization technologies that utilize the characteristics of computer architecture, including the invention of the deep learning model “LUT-Network” for FPGAs. He has written numerous articles, including in “Interface” (CQ Publishing). He is currently working at ki-labs, Future Inc., designing AI accelerator architectures.

16:20-16:40

TRACE32: Advanced Debug and Trace Solutions for RISC-V
 RISC-V adoption is rapidly expanding across a wide range of domains, from embedded devices to high-performance SoCs. As systems become increasingly complex through multi-core integration and heterogeneous architectures, the importance of advanced development and analysis environments continues to grow.
 This talk introduces the latest trends in high-end debug and trace technologies for RISC-V systems. It explains how TRACE32’s comprehensive debug solutions—such as non-intrusive observation and synchronized multi-core debugging—can contribute to efficient analysis and resolution of complex system-level issues.

Yuji Mori | Representative Director, Lauterbach Japan Co., Ltd. (Germany)
 Yuji Mori serves as Representative Director of Lauterbach Japan Co., Ltd., the Japanese subsidiary of Germany-based Lauterbach, a global leader in debug and trace solutions for embedded systems. Over the course of his career, he has been involved in development and technical support within Japan’s major semiconductor and embedded industries, including companies such as Hitachi and Renesas Electronics, building extensive experience in SoC and embedded system design and debugging. At Lauterbach, Mori oversees business development and customer engagement in the Japanese market, promoting more efficient development for increasingly complex next-generation systems such as multi-core SoCs and RISC-V platforms through advanced technologies including non-intrusive tracing and synchronized multi-core debugging.

16:40-17:00

ICE-Based Debugging Environment for RISC-V Development: Essential Tools and Real-World Challenges
 This session addresses common challenges encountered in RISC-V software development—such as initial boot bring-up, RTOS debugging, and trace analysis—and introduces practical development and verification methodologies using ICE.
 As RISC-V adoption accelerates across industrial applications, the most critical requirement for development teams is an environment that enables efficient bring-up and in-depth analysis on real hardware. DTS INSIGHT provides embedded developers with robust debug and trace environments through its RISC-V–compatible ICE (In-Circuit Emulator) products.

DTS INSIGHT Corporation

17:00-17:10

Closing Remarks: Leveraging RISC-V to Revitalize Japan’s Digital Sector
 Japan’s digital sector is highly dependent on overseas sources for cloud infrastructure, AI computing resources, and core server technologies, and the import structure of data center technology is restricting industrial competitiveness and digital sovereignty. RISC-V represents one of the few strategic opportunities to bring standardization and implementation capabilities domestically through an open ecosystem, and could become an important pillar for rebuilding the semiconductor and digital industrial infrastructure.
 In closing, I would like to reorganize today’s discussion as the intersection of policy, standardization, implementation, and human resource development, and confirm that industry, government, and academia working together to establish the RISC-V ecosystem in Japan is essential for revitalizing Japan’s digital sector and establishing next-generation industrial competitiveness.

RISC-V Alliance Japan

 

CONFERENCE B @Multi-Purpose Space (Click thumbnail to expand the picture)

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14:45-15:05

Development of Advanced Semiconductor Design Infrastructure and Ongoing Projects at AIDC
 At AIDC, initiatives are underway to build a digital design environment aligned with next-generation process technologies, as well as to establish an end-to-end workflow covering design, prototyping, and evaluation.
 This presentation introduces the approach taken by the Advanced Integrated Device Consortium (AIDC) in developing semiconductor design infrastructure, outlines the overall direction of its research and development activities, and provides an overview of the current status of the design environment as well as the major projects currently in progress.

Kunio Uchiyama | Director, AI Chip Design Lab, National Institute of Advanced Industrial Science and Technology (AIST) | Invited Senior Researcher) 
 Mr. Kunio Uchiyama of the AI Chip Design Center (AIDC) holds a Master’s degree in Information Science from Tokyo Institute of Technology and a Ph.D. in Engineering. He joined Hitachi, Ltd. Central Research Laboratory in 1978, where he engaged in research on CAD, mainframe systems, microprocessors, and computer systems.
 After serving as Chief Engineer, Corporate Officer, and Technical Advisor at Hitachi, he currently serves as an Invited Researcher at the National Institute of Advanced Industrial Science and Technology (AIST), where he is the Director of the AI Chip Design Center under a NEDO-funded program. He is a Fellow of IEEE and the Institute of Electronics, Information and Communication Engineers (IEICE), and has served as a member of the Board of Governors of the IEEE Computer Society.

15:10-15:30

AIST’s Initiatives in Advanced Semiconductor Research and Development
 Semiconductors are utilized in various aspects of our daily lives and have become an indispensable presence for addressing social challenges and strengthening industrial competitiveness. Consequently, securing a stable supply of semiconductors has become a critical issue from the perspective of economic security, much like energy resources.
In addition, the drive for higher performance in AI chips—led by generative AI—has resulted in ever-increasing demands for improvements in semiconductor performance itself. In other words, the further evolution of semiconductors is now essential. In this presentation, I will introduce the initiatives being undertaken by AIST to drive this continued evolution of semiconductor technology.

Dr. Meishoku Masahara | National Institute of Advanced Industrial Science and Technology (AIST)
Director, Semiconductor Frontier Research CenterDr. Masahara completed the doctoral program at the Graduate School of Science and Engineering, Waseda University, in 1995, earning a Ph.D. in Engineering. In 2002, he joined the National Institute of Advanced Industrial Science and Technology (AIST), where he has been consistently dedicated to research in advanced semiconductors. Currently, as the Director of the Advanced Semiconductor Research Center, he leads AIST’s research and development initiatives in the field of advanced semiconductors. He also served as a visiting researcher at imec in Belgium from 2005 to 2006. Since 2022, he has participated as a member of the Leading-edge Semiconductor Technology Center (LSTC) and serves as the General Manager of the Technology Development Management Division.


 

Accelerating RISC-V Development via Hybrid Co-Emulation and Shift-Left Methodologies
S2C EDA Solutions offers an integrated verification ecosystem designed to accelerate RISC-V development through a “Shift-Left” methodology, which allows software and hardware teams to work in parallel. The platform is built on three core pillars: Genesis Architect for early microarchitecture analysis and virtual modeling, OmniArk Emulation for scalable system integration and compliance testing, and Prodigy FPGA Prototyping for high-performance software development and hardware evaluation. A critical technical component of this suite is the Hybrid Co-Emulation Bridge, which synchronizes non-RTL virtual models (like QEMU or SystemC) with RTL hardware designs. This is achieved using a sophisticated interface of proxies for untimed software transactions, transactors that convert these into cycle-accurate hardware events, and dedicated communication channels to ensure seamless data flow. By bridging the gap between high-level architectural exploration and physical prototyping, this technology enables developers to achieve early software maturity and rigorous certification before final silicon is produced.

Ravi Sahita | Security Engineer | Meta (formerly Facebook) | Vice Chair, RISC-V International Security Horizontal Technical Committee | Chair, Confidential Computing SIG/TG (RISC-V International)  
 Ravi Sahita is a technical leader in computer security, instruction set architectures (ISAs), open-source system software, virtualization, platform design, and distributed systems. He has extensive experience across the full lifecycle of secure system development—from research and architecture through implementation and product deployment.
 Ravi has contributed to the development of industry-standard specifications in areas such as software ABIs, security models, network security, and Quality of Service (QoS). He also has hands-on expertise with FIPS (NIST) security certification processes and has been involved in open-source virtualization implementations including Xen and KVM/Linux. He is an author of numerous technical papers and industry standards within organizations such as RISC-V International, the IETF, and the Trusted Computing Group (TCG).
 Ravi possesses deep expertise in platform security architecture spanning software, processors, chipsets, and devices. He has led data center–scale Confidential Computing initiatives, including major projects such as RISC-V CoVE, OpenTitan, and Intel TDX.
 His contributions include advanced security innovations such as ROP defense through Intel CET, defining VM introspection ISA mechanisms within Intel VT-x, implementing the first security hypervisor designed to protect guest runtime integrity (Deepsafe), and developing system defense capabilities for Intel vPro. In recent years, Ravi has also focused on protecting privacy-sensitive AI training and inference infrastructure, as well as countermeasures against adversarial machine learning. He is the holder of more than 240 patents.

16:00-16:20

Specification-accurate customizable RISC-V cores and accelerators
Keysom offers a specialized RISC-V and accelerator IP ecosystem built on a unique mathematical approach that utilizes theorem-proving formal verification to ensure absolute equivalence between hardware specifications and implementation. This methodology provides a complete, silicon-proven solution that bridges the gap between hardware and software, supporting high-performance applications from the edge to AI environments. The architecture is highly modular, allowing for optional blocks, instructions, and privileged modes, and features a Smart LLVM Compiler alongside standard interfaces like AXI and CV-X-IF for seamless vector unit integration.

Luca TESTA, PhD – Co-founder and COO | Keysome IP (France)
After completing my studies in Italy, I earned my PhD in France in 2010, in collaboration with STMicroelectronics, specializing in the design of analog/RF circuits. I then spent several years working as an analog/RF engineer before joining Amplitude Laser, where I became Head of the Electronics Department until 2018. That year, I co-founded an engineering firm specializing in embedded hardware and software solution. In 2022, I co-founded Keysom, where I now serve as COO, with the goal to provide innovative RISC-V cores.

16:25-16:45

Scaling Open Compute: RISC-V, Chiplets, and the Future of AI and Robotics
This presentation explores how the RISC-V architecture and chiplet technology enable Tenstorrent to develop a wide range of computing platforms across diverse markets, including AI, automotive, and robotics. The presenter also addresses the challenges of building composable systems with chiplets. While the technology to build chiplets, such as UCIe, has matured significantly in recent years, there are still significant gaps in achieving interoperability among chiplets from different vendors. The presenter will highlight key interoperability issues that arise when integrating chiplets from different vendors and share the solutions Tenstorrent is pursuing to overcome these barriers.

Yasuo ISHII | RISC-V CPU Architecture Fellow | Tenstorrent Japan
Yasuo is a processor architecture expert who leads next-generation RISC-V CPU microarchitecture design, frontend optimization, and performance exploration. He has nearly 20 years of industry experience and extensive knowledge in high-performance processor design, including CPU frontends, branch prediction, instruction fetch, caches, and data prefetching.
Before joining Tenstorrent in 2023, he spent more than eight years at Arm as a Senior Principal Engineer, where he worked on CPU microarchitecture, frontend logic design, and performance analysis. At Arm, he played a key role in developing core technologies for advanced CPUs, including instruction fetch, branch prediction, and scheduling.
Prior to his roles at Tenstorrent and Arm, he worked for over eight years as a hardware engineer at NEC in Japan, contributing to CPU logic design across a wide range of frontend technologies, including instruction caches, decode units, scheduling, prefetching, and memory disambiguation.

 

TUTORIAL A @Multi-Purpose Space (Click thumbnail to expand the picture)

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10:00-10:30

2nd Generation Intelligence Products Technology Explainer 
 The SiFive 2nd Generation Intelligence technology family introduces a comprehensive suite of RISC-V products, including the X100, X200, X300, and XM series, designed to solve the growing fragmentation and complexity within modern AI compute requirements. This architecture employs a unified Scalar, Vector, and Matrix (SVM) compute strategy that efficiently manages diverse tasks ranging from basic control flow to intensive convolutional processing.
 A key technical breakthrough is the implementation of memory latency tolerance, which utilizes a refined pipeline allowing scalar units to pre-fetch data and effectively eliminate vector pipeline stalls. Furthermore, the inclusion of direct core connectivity through the Scalar Coprocessor Interface (SSCI) and Vector Co-processor Interface (VCIX) enables high-bandwidth integration with custom accelerators and companion cores. The performance is further augmented by a dedicated hardware Exponential Unit specifically engineered to accelerate Softmax operations by significantly reducing the cycles required for exponential functions. Together, these features establish a scalable and low-latency framework capable of handling a wide array of AI workloads across the entire compute spectrum, from power-efficient IoT devices to high-performance datacenter environments.

John Simpson | Senior Principal Architect | SiFive Inc. 
 John Simpson is a Senior Principal Architect at SiFive, where he leads the technical strategy and development for the company’s “Intelligence” product line, including the 2nd Generation X-series and XM-series RISC-V cores. His work is primarily focused on the architecture of future RISC-V vector processors and hardware optimized for high-performance AI compute. Prior to joining SiFive, he held leadership positions at Wave Computing as Chief SoC Architect and Director of Engineering, overseeing the design of specialized AI chips such as the Reaper and Triton AI architectures. His extensive industry experience also includes a tenure in engineering and design roles at STMicroelectronics and a period as a co-founder of a stealth startup dedicated to AI infrastructure.
 In terms of technical expertise, he specializes in microarchitecture, System-on-Chip (SoC) design, and the implementation of RISC-V vector extensions, with a particular emphasis on addressing memory latency tolerance in modern AI environments. As a key technical spokesperson for SiFive’s AI initiatives, he authored the “2nd Generation Intelligence Technology Explainer,” detailing advancements like the Scalar Coprocessor Interface (SSCI) and Vector Co-processor Interface (VCIX). He holds a degree in Microelectronic Systems Engineering from The University of Manchester, which serves as the foundation for his contributions to the evolving landscape of scalable AI hardware.
 

10:30-11:00

Invited Talk: Current Status of the “RISC-V Server SoC Specification”
 In recent years, data center and server systems have been required to meet a wide range of platform-level demands, including Reliability, Availability, Serviceability (RAS), security, guaranteed performance, and long-term maintainability.

 This talk provides an overview of the concept of a standardized server platform foundation that enables RISC-V to expand into the data center–scale server market, and explains its technical significance.
 The primary goal of the RISC-V Server SoC Specification is to allow OS and hypervisor vendors to boot and run a single binary OS image on RISC-V servers without modification. In other words, the specification seeks to standardize hardware interfaces and functional requirements in areas where differentiation or vendor-specific implementation should not be necessary, thereby improving software compatibility and portability across RISC-V server platforms.
 This specification is positioned as one component of a broader server platform standard. When combined with essential elements such as UEFI/ACPI-based boot and runtime services, security models, platform firmware, and management mechanisms including BMC, it forms the basis of a complete RISC-V server platform standard.
 The presentation will cover: (a) Clock, timer, and interrupt control, (2) DMA protection and virtualization support through the RISC-V IOMMU, (3) PCIe subsystem integration rules, (4) Standardized RAS error record formats, (5) Mitigation of noisy-neighbor effects through QoS guarantees, (6) Industry-standard APIs for remote AI server management such as Redfish, (7) Common server management specifications including PLDM (Platform Level Data Model), (8) Management communication protocols such as MCTP (Management Component Transport Protocol). Through these topics, the talk highlights the essential building blocks required for robust and interoperable RISC-V server infrastructure. (Title and abstract prepared by the organizers.)

Vedvyas Shanbhogue | Semiconductor Engineer | Meta (formerly Facebook) | Vice Chair, RISC-V ISA Security Horizontal Technical Committee | Chair, Confidential Computing SIG/TG (RISC-V International)
 Vedvyas (“Ved”) Shanbhogue is a semiconductor architect at Meta, where he develops compute platforms for next-generation data center infrastructure. His work spans critical domains for cloud and AI systems, including security, virtualization, power management, and new ISA extensions across both RISC-V and x86 architectures. Ved has deep expertise in hardware security technologies that enable Confidential Computing, as well as in the integration of virtualization stacks such as KVM and Xen with key platform mechanisms including PCIe Integrity and Data Encryption (IDE), IOMMU, and Intel virtualization technologies (VT-x/VT-d).
 Beginning in 2021, Ved served as a Member of Technical Staff at the RISC-V startup Rivos Inc., contributing to the development of next-generation CPUs and AI data center system foundations. Following Meta’s acquisition of Rivos in 2025, he joined Meta’s data center silicon organization. Ved spent 21 years at Intel, ultimately as a Senior Principal Engineer, where he led the design of advanced processor security mechanisms that strengthen trust and isolation, including Control-flow Enforcement Technology (CCE/CET) and Trust Domain Extensions (TDX). He also contributed to sophisticated virtualization enhancements such as VMFUNC, EPT-switching, #VE, and HLAT, as well as microarchitectural design incorporating functional safety considerations.
 Beyond hardware architecture, Ved has extensive experience in system software, including Linux and Windows driver development, microcode design for network processors, high-availability middleware for telecom infrastructure, and protocol implementations such as SS7 and GSM.
 With a full-stack perspective spanning CPU design, OS and virtualization foundations, networking, and media processing technologies (MPEG-TS, RTP, H.264), Ved is a technical leader driving the evolution of next-generation computing platforms.

11:00-11:30

Invited Talk: Trusted Foundations for the AI and Cloud Era — Secure Large-Scale Data Analytics with RISC-V Confidential Computing
Confidential Computing is not merely an additional security feature; it is becoming a fundamental prerequisite for entry into the next-generation data center market. By providing mechanisms for protecting data in use and enabling isolated execution environments, Confidential Computing can be realized with properly designed hardware support at an overhead of roughly 10% in computational cost.
 This talk explains the comprehensive development of Confidential Computing capabilities as a core element of the next-generation RISC-V server platform for AI cloud infrastructure. In addition to foundational technologies such as the privileged ISA, the Hypervisor Extension, the Advanced Interrupt Architecture (AIA), and the IOMMU, RISC-V is actively advancing key isolation and compartmentalization features, including the Supervisor Domains Extension and the definition of the CoVE (Confidential VM Extension) Application Binary Interface (ABI). Together, these efforts enable the realization of Trusted Execution Environment Virtual Machines (TVMs) that are isolated from both the host OS and the hypervisor.
 Furthermore, the talk introduces critical ecosystem technologies required for secure accelerator-based AI computing. These include PCIe Integrity and Data Encryption (IDE), which protects CPU–device communications (GPU/NIC/SSD) from eavesdropping and tampering, as well as protocols for mutual authentication between the host CPU and devices such as SPDM (Security Protocol and Data Model). It also covers PCIe-standard mechanisms for assigning devices securely to Confidential VMs, including TDISP (TEE Device Interface Security Protocol).
 By combining these technologies, RISC-V Confidential Computing enables the secure direct assignment of AI accelerators, remote attestation rooted in hardware Root-of-Trust, and improved interoperability through open security silicon—establishing a robust trusted foundation for large-scale AI and cloud data analytics.

Ravi Sahita | Security Engineer | Meta (formerly Facebook) | Vice Chair, RISC-V International Security Horizontal Technical Committee | Chair, Confidential Computing SIG/TG (RISC-V International)  
 Ravi Sahita is a technical leader in computer security, instruction set architectures (ISAs), open-source system software, virtualization, platform design, and distributed systems. He has extensive experience across the full lifecycle of secure system development—from research and architecture through implementation and product deployment.
 Ravi has contributed to the development of industry-standard specifications in areas such as software ABIs, security models, network security, and Quality of Service (QoS). He also has hands-on expertise with FIPS (NIST) security certification processes and has been involved in open-source virtualization implementations including Xen and KVM/Linux. He is an author of numerous technical papers and industry standards within organizations such as RISC-V International, the IETF, and the Trusted Computing Group (TCG).
 Ravi possesses deep expertise in platform security architecture spanning software, processors, chipsets, and devices. He has led data center–scale Confidential Computing initiatives, including major projects such as RISC-V CoVE, OpenTitan, and Intel TDX.
 His contributions include advanced security innovations such as ROP defense through Intel CET, defining VM introspection ISA mechanisms within Intel VT-x, implementing the first security hypervisor designed to protect guest runtime integrity (Deepsafe), and developing system defense capabilities for Intel vPro. In recent years, Ravi has also focused on protecting privacy-sensitive AI training and inference infrastructure, as well as countermeasures against adversarial machine learning. He is the holder of more than 240 patents.

11:30-12:30

TEE (Trusted Execution Environment) + Attestation + RoT (Root of Trust) on RISC-V
 Trusted Execution Environments (TEEs), which provide isolated execution environments separate from the normal operating system, are widely utilized across cloud platforms (Intel SGX, TDX, AMD SEV-SNP), smartphones (Arm Cortex-A TrustZone), and embedded systems (Arm Cortex-M TrustZone). Numerous experimental implementations have also been proposed for RISC-V.
 In recent years, the application of TEE concepts has expanded to include GPUs, and further developments are anticipated.
 This lecture will introduce these technologies, along with the underlying mechanisms that support TEEs, such as Root of Trust (RoT) and attestation. It will also explain the essential security requirements necessary to build trusted systems.

Kuniyasu Suzaki | Professor, Institute of Information Security
 After serving at the National Institute of Advanced Industrial Science and Technology (AIST), he was appointed Professor at the Institute of Information Security in 2022.
 He has been recognized as an Invited Expert of the Trusted Computing Group (TCG) since 2019, and has served as an Advisor to the Privacy Tech Association since 2024.

 

 

TUTORIAL B @Multi-Purpose Space (Click thumbnail to expand the picture)

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Main Hall
9:00-13:00

Turing Machine ASIC “Hands-On” TinyTapeout Tutorial — From RTL to GDSII and Fabrication
This tutorial provides a fully hands-on introduction to ASIC design by implementing a Turing Machine using open-source EDA tools and an educational fabrication framework. The tutorial uses OpenROAD/OpenLane, SkyWater’s SKY130 open PDK, and the TinyTapeout platform, enabling attendees to experience how modern open-source tools can be used to design real chips. Throughout the session, participants will interactively learn each stage of the flow—design automation, physical implementation, and verification—while building an appreciation of Turing’s computational model through silicon realization. The goal of this 3-hour hands-on session is to give participants practical exposure to open-source ASIC development, deepen their understanding of computer architecture through the Turing Machine example, and guide them toward submitting a complete GDSII design via TinyTapeout’s fabrication shuttle. Participants must bring a personal Windows laptop with 50GB of free space (WSL2 + Ubuntu 24.04 recommended) or a Mac with Docker pre-installed. Tools will be installed on-site using a prepared Docker image.

Munetomo Maruyama
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Munetomo Maruyama is a veteran semiconductor design engineer with decades of experience in microcontroller (MCU) and SoC development in Japan. He began his career at Hitachi in 1986, contributing to the development of the SH-family microcontrollers, and later worked across multiple major semiconductor companies and ventures, where he led projects involving imaging SoCs, embedded MCUs, and advanced semiconductor device architectures. Maruyama is also widely known for developing and publishing the open-source mmRISC series of RISC-V CPU cores, contributing significantly to the dissemination of open hardware design methodologies in Japan. He has authored numerous technical articles and educational materials and is recognized for his clear, practical teaching style. With experience dating back to 1978 in microcomputers, FPGA, and computer architecture, Maruyama expertise: (1) MCU / SoC Architecture & Design (2) Open-source CPU Development (RISC-V mmRISC series) (3) ASIC/FPGA Design & Verification (4) Hands-on Engineering Education. 

 

A physical model of a Turing machine displayed at the “Go Ask Alice” exhibit of the Harvard Collection of Historical Scientific Instruments.
The device visually demonstrates how an abstract Turing machine operates by manipulating symbols on a tape.
Photograph by GabrielF/Wikimedia Commons(CC BY-SA 3.0)


Alan Turing (1912-1954), 1951. Photograph by Elliott & Fry. Courtesy of Wikimedia Commons. Public Domain.

 

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RISC-V Association is an association among RISC-V Foundation member companies. RISC-V Foundation defines Member Sponsored Events and Meetups as regional efforts and RISC-V Association supports these events. Presently Software Hardware Consulting handles business ends of this activity.

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  • RISC-V Day Tokyo 2025 Autumn Tutorial “Building a Device ‘ID Card’—From Power-On to Tamper Detection and Remote Proof (Tentative Title)” :RISC-V Day Tokyo 2025 Autumn • Instructor: H. Andrés Lagar-Cavilla, Principal Engineer, Google)
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  • The design for the RISC-V 15th anniversary mug has been completed.
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  • In May 2025, the Trump administration officially announced the repeal of the “AI Diffusion Rule”.
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  • 2025年2月27日(木)RISC-V DAY TOKYO 2025 SPRING 出展者情報2:アンデス・テクノロジーズ(台湾)

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