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UID:submissions.supercomputing.org_SC25_sess236@linklings.com
SUMMARY:International Workshop on RISC-V for HPC (RISCVHPC)
DESCRIPTION:RISC-V is an open standard instruction set architecture (ISA) 
 which enables the open development of CPUs and a shared common software ec
 osystem. There are already over 15 billion RISC-V cores, which are acceler
 ating rapidly. Nonetheless, for all the successes that RISC-V has faced, i
 t is yet to become popular in HPC. Recent advances, however, such as data 
 center RISC-V-based CPUs and PCIe accelerators, mean that this technology 
 is becoming a more realistic proposition for our workloads. This workshop 
 aims to connect those currently involved in RISC-V with the wider HPC comm
 unity. We look to bring together RISC-V experts with scientific software d
 evelopers, vendors, and supercomputing center operators to explore the adv
 antages, challenges, and opportunities that RISC-V can bring to HPC. Furth
 ermore, we aim to further expand the RISC-V HPC SIG, enabling interested a
 ttendees to participate in one of the most exciting open-source technologi
 cal activities of our time.\n\nAssessing a RISC-V Accelerator for Cross-Se
 ction Lookup in Chipyard\n\nHigh-fidelity nuclear reactor simulations usin
 g Monte Carlo\nneutron transport face bottlenecks in neutron cross-section
 \nlookups. We designed a custom RISC-V accelerator for\nRSBench, integrate
 d with a RocketCore in Chipyard. The\npipelined design employs Humlíček’s 
 8th-order rational ap-\npr...\n\n\nAndrew Ledbetter, Kazutomo Yoshii, and 
 John Tramm (Argonne National Laboratory (ANL))\n---------------------\nIzh
 iRISC-V - a RISC-V-based Processor with Custom ISA Extension for Spiking N
 euron Networks Processing with Izhikevich Neurons\n\nSpiking Neural Networ
 k processing promises to provide high energy efficiency due to the sparsit
 y of the spiking events. However, when realized on general-purpose hardwar
 e -- such as a RISC-V processor -- this promise can be undermined and over
 shadowed by the inefficient code, stemming from repeated ...\n\n\nWiktor J
 an Szczerek and Artur Podobas (KTH Royal Institute of Technology)\n-------
 --------------\nMorning Break - International Workshop on RISC-V for HPC (
 RISCVHPC)\n---------------------\nInvited talk: Cuzco from Open-source to 
 a High Performance Computing CPU Design\n\nThe RISC-V ISA, with the RVA23 
 compatibility profile, is enabling innovation to meet the power-performanc
 e-area (PPA) needs of the most demanding computing workloads. Condor Compu
 ting presents Cuzco, a novel RISC-V processor IP design, for inclusion in 
 customer System-on-Chips (SoCs) which will comp...\n\n\nShashank Nemawarka
 r\n---------------------\nEnabling the syscall_intercept library for RISC-
 V\n\nPetar Andrić, Ramon Nou, Aaron Call, and Guillem Senabre (Barcelona S
 upercomputing Center (BSC))\n---------------------\nIs RISC-V ready for Hi
 gh Performance Computing? An evaluation of the Sophon SG2044\n\nThe pace o
 f RISC-V adoption continues to grow rapidly, yet for the successes enjoyed
  in areas such as embedded computing, RISC-V is yet to gain ubiquity in Hi
 gh Performance Computing (HPC). The Sophon SG2044 is SOPHGO's next generat
 ion 64-core high performance CPU that has been designed for workstat...\n\
 n\nNick Brown (Edinburgh Parallel Computing Centre (EPCC); University of E
 dinburgh, Scotland)\n---------------------\nDyninst on the RISC-V: Binary 
 Instrumentation in Support of Performance, Debugging, and Other Tools\n\nB
 inary instrumentation provides the ability to instrument and modify a prog
 ram after the compilation process has completed. Operating on the binary l
 evel allows instrumentation of the program as it was produced by the compi
 ler. In addition, it can operate on programs or libraries for which you ma
 y n...\n\n\nCheng-Hsun Angus He, Ronak Chauhan, James A. Kupsch, Hsuan-Hen
 g Wu, and Barton P. Miller (University of Wisconsin-Madison)\n------------
 ---------\nA RISC-V Vector Extension for Multi-word Arithmetic\n\nMulti-wo
 rd arithmetic plays a critical role in high-performance computing (HPC) as
  it enables arithmetic on operands exceeding a processor’s native word siz
 e. For example, many cryptographic kernels, such as number theoretic trans
 form, rely on multi-word arithmetic to compute log₂(&#1199...\n\n\nYunhao 
 Lan, Larry Tang, Naifeng Zhang, Youngjin Eum, James Hoe, and Franz Franche
 tti (Carnegie Mellon University)\n---------------------\nRISC-V Vectorizat
 ion Coverage for HPC: A TSVC-Based Analysis\n\nThe RISC-V Vector Extension
  (RVV) introduces scalable, vector-length–agnostic operations with strong 
 potential for high-performance computing (HPC). This paper presents a TSVC
 -based instruction coverage analysis of RVV to evaluate current compiler a
 uto-vectorization support. We compile TSVC wi...\n\n\nHung-Ming Lai (Natio
 nal Tsing Hua University, Taiwan; Lawrence Livermore National Laboratory (
 LLNL)); Pei-Hung Lin (Lawrence Livermore National Laboratory (LLNL)); Maya
  Gokhale (Lawrence Livermore National Laboratory); Ivy Peng (KTH Royal Ins
 titute of Technology); Hiren Patel (University of Waterloo); and Jenq-Kuen
  Lee (National Tsing Hua University)\n---------------------\nAccelerating 
 Gravitational N-Body Simulations Using the RISC-V-Based Tenstorrent Wormho
 le\n\nAlthough originally developed primarily for artificial intelligence 
 workloads, RISC-V-based accelerators are also emerging as attractive platf
 orms for high-performance scientific computing. In this work, we present o
 ur approach to accelerating an astrophysical N-body code on the RISC-V-bas
 ed Wormhol...\n\n\nJenny Lynn Almerol and Elisabetta Boella (E4 Computer E
 ngineering), Mario Spera (Scuola Internazionale Superiore di Studi Avanzat
 i (SISSA)), and Daniele Gregori (E4 Computer Engineering)\n---------------
 ------\nBridging Simulation and Silicon: A Study of RISC-V Hardware and Fi
 reSim Simulation\n\nRISC-V ISA-based processors have emerged as powerful, 
 energy-efficient computing platforms, with the Milk-V Pioneer marking the 
 first desktop-grade RISC-V system. Growing interest from academia and indu
 stry highlights their potential in high-performance computing (HPC). The o
 pen-source, FPGA-acceler...\n\n\nAtanu Barai, Kamalavasan Kamalakkannan, P
 atrick Diehl, Maxim Moraru, Jered Dominguez-Trujillo, Howard Pritchard, an
 d Nandakishore Santhi (Los Alamos National Laboratory (LANL)); Farzad Fato
 llahi-Fard (Lawrence Berkeley National Laboratory (LBNL)); and Galen Shipm
 an (Los Alamos National Laboratory (LANL))\n---------------------\nSimulat
 ing Hybrid Analog + RISC-V Systems for HPC Applications\n\nAs digital scal
 ing trends have slowed over the past decade, there has been renewed intere
 st in new computing paradigms such as analog. Analog computing has the pot
 ential to provide performance and efficiency beyond what is achievable by 
 digital systems; however, many challenges remain. One such chal...\n\n\nCa
 meron Durbin (University of Oregon), Jacob Flores (Sandia National Laborat
 ories), Thomas Weatherly (Georgia Tech Research Institute), and Ben Feinbe
 rg (Sandia National Laboratories)\n\nRecording: Livestreamed, Recorded\n\n
 Registration Category: Technical Program Reg Pass, Workshop Reg Pass\n\nSe
 ssion Chairs: Nick Brown (Edinburgh Parallel Computing Centre (EPCC); Univ
 ersity of Edinburgh, Scotland); David Donofrio (Tactical Computing Laborat
 ories LLC, Lawrence Berkeley National Laboratory (LBNL)); Teresa Cervero (
 Barcelona Supercomputing Center (BSC)); Daniele Gregori (E4 Computer Engin
 eering); and Matthew Turner (Hewlett Packard Enterprise (HPE))
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