Charlie Su and Simon Wang, Andes Technology
Emerging RISC-V Technologies for Data Computation from Edge to Cloud
With its open, modular and extensible ISA, RISC-V architecture is leading the innovations for all computing devices, in particular for the emerging applications of 5G, AIoT, Automotive, Networking and Storage. In this talk, we will look into RISC-V architecture support and example SoC’s to accelerate data-intensive computation for applications ranging from audio, voice, image, to video, vision, communication and AI. The RISC-V P extension or packed SIMD/DSP targets for speeding up fixed-point computations for audio, voice, small image and slow video, usually in cost-sensitive devices. RISC-V V or Vector extension aims for higher data-rate computations in both fixed-point and floating-point computations, usually in high-performance systems. For those interested in pursuing the ultimate performance efficiency with domain-specific architecture, RISC-V’s custom extensibility creates a whole new opportunity for innovations.
We will also examine how to unlock such a potential with user-friendly software tools and a straightforward programming model, such as toolchains, processor pipeline analyzer, and the newly-launched NN, DSP and Vector libraries for accelerating computations as well as reducing the development schedule. Furthermore, we will present couple use cases in AI, NN, DSP applications, and results from several benchmarks.
Dr. Charlie Su, Andes Technology. Charlie is the Cofounder, CTO and President of Andes. He led Andes to develop processor IP solutions with its own ISA before adopting RISC-V 4 years ago. The annual volume of Andes-Embedded SoC has now surpassed 2 billion in 2020. Charlie spent over 12 years in the Silicon Valley at Sun, C-Cube, SGI/MIPS, and Intergraph. He made key contributions to successful processors such as the Sun multi-core multi-threading Ultrasparc processors, the C-Cube MPEG codec processors, the MIPS out-of-order R10K families, and the Intergraph Clipper VLIW processor. Before starting Andes in 2005, he led the processor IP development in Faraday Technology for 2 years. Charlie got his Ph.D. in CS from UIUC, and M.S. in CS from NTHU and BS in EE from NTU.
Simon Wang, Andes Technology. Simon is the technical marketing manager of Andes. He is responsible for software product planning, marketing strategy and ecosystem engagement. Simon devotes himself to improve people’s lives with software engineering, no matter as the developer, designer, architect or planner. He used to work in MediaTek and Moxa, and got his M.S. and BS in NTCU EE.