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DTSTAMP:20260731T133318Z
LOCATION:Bldg. 8 - B 102
DTSTART;TZID=Europe/Stockholm:20260701T113000
DTEND;TZID=Europe/Stockholm:20260701T130000
UID:submissions.pasc-conference.org_PASC26_sess185@linklings.com
SUMMARY:IS1 - Non-GPU Accelerator Technologies in Scientific Computing & M
 L
DESCRIPTION:GPUs dominate modern supercomputers and AI clusters, yet their
  scarcity and high energy consumption expose architectural limitations. Th
 is minisymposium explores non‑GPU accelerators that offload specialized wo
 rkloads, reduce GPU pressure, and expand design options for scientific com
 puting and machine learning systems. Topics include quantum accelerators i
 ntegrated into HPC+QC workflows for applications such as computational che
 mistry and electronic structure, and data processing units (DPUs) that off
 load storage and networking to enable efficient, GPU‑aware data services. 
 The program also highlights RISC‑V–based accelerators and full‑stack solut
 ions from emerging vendors as cost‑efficient, open‑ISA alternatives to GPU
 s, supported by case studies demonstrating performance gains and energy sa
 vings. Cross‑cutting discussions will address hybrid scheduling, orchestra
 tion frameworks, and standardized APIs required to integrate quantum, DPU,
  and RISC‑V technologies into production HPC environments. By bringing tog
 ether experts across quantum computing, data‑centric architectures, and op
 en hardware ecosystems, the minisymposium outlines the evolving landscape 
 of non‑GPU acceleration. Its goal is to identify where these technologies 
 can complement, and in some domains potentially replace, traditional GPUs 
 in future exascale‑class systems for science and machine learning.\n\nA Ne
 w Era of Computing: Hybrid AI–Quantum Algorithms in Quantum-Centric Superc
 omputing\n\nWe present a quantum-centric perspective on the emerging conve
 rgence of high-performance computing (HPC) and quantum computing, emphasiz
 ing algorithmic advances that enable practical scientific applications in 
 the near term. Central to this paradigm is quantum-centric supercomputing 
 (QCSC), a hybrid...\n\n\nTeodoro Laino (IBM Research Europe)\n------------
 ---------\nExploring Tenstorrent RISC-V Accelerators for High-Performance 
 Scientific Computing: An N-Body Case Study\n\nRISC‑V–based accelerators ha
 ve recently seen rapid growth, primarily driven by artificial intelligence
  workloads. However, some architectures also show strong potential for hig
 h‑performance scientific computing. One example is the Tenstorrent n300 (“
 Wormhole”) accelerat...\n\n\nElisabetta Boella (E4 COMPUTER ENGINEERING S.
 p.A.)\n---------------------\nIntegrating Quantum Computers into HPC Workf
 lows\n\nIncorporating Quantum Computing (QC) into High Performance Computi
 ng (HPC) environments (commonly referred to as HPC+QC integration) marks a
  pivotal step in advancing computational capabilities for scientific resea
 rch. This talk gives an overview of IQM's recent results in integrating qu
 antum comput...\n\n\nFrédéric Schlattner (IQM Quantum Computers)\n--------
 -------------\nBeyond CPU-Centric Storage Architecture: Huawei Innovations
  in DPU Acceleration, All-Active Fabric, and GPU-Aware Data Services\n\nAs
  AI and high-performance computing workloads continue to scale, traditiona
 l CPU-centric storage architectures are increasingly challenged by the dem
 ands of massive data movement, low-latency access, and GPU-driven processi
 ng. This session explores Huawei’s latest innovations designed to addr...\
 n\n\nHongliang Tang (Futurewei Technologies, Inc.)\n\nSession Chair: Prash
 anth Kanduri (ETH Zurich / CSCS)
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