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IBM Quantum Summit: Osprey Flies; Error Handling Progress; Quantum-centric Supercomputing
Part scorecard, part grand vision, IBM’s annual Quantum Summit held last month is a fascinating snapshot of IBM’s progress, evolving technology roadmap, and issues facing the quantum landscap …
2022 Road Trip: NASA Ames Takes Off
I left Dallas very early Friday morning after the conclusion of SC22. I had a race with the devil to get from Dallas to Mountain View, Calif., by Sunday. According to Google Maps, this 1,957 mile …
2022 Road Trip: Sandia Brain Trust Sounds Off
November 24, 2022
As the 2022 Great American Supercomputing Road Trip carries on, it’s Sandia’s turn. It was a bright sunny day when I rolled into Albuquerque after a high-sp Read more…
2022 HPC Road Trip: Los Alamos
November 23, 2022
With SC22 in the rearview mirror, it’s time to get back to the 2022 Great American Supercomputing Road Trip. To refresh everyone’s memory, I jumped in the c Read more…
Chipmakers Looking at New Architecture to Drive Computing Ahead
November 23, 2022
The ability to scale current computing designs is reaching a breaking point, and chipmakers such as Intel, Qualcomm and AMD are putting their brains together on an alternate architecture to push computing forward. The chipmakers are coalescing around the new concept of sparse computing, which involves bringing computing to data... Read more…
Quantum – Are We There (or Close) Yet? No, Says the Panel
November 19, 2022
For all of its politeness, a fascinating panel on the last day of SC22 – Quantum Computing: A Future for HPC Acceleration? – mostly served to illustrate the Read more…
RISC-V Is Far from Being an Alternative to x86 and Arm in HPC
November 18, 2022
One of the original RISC-V designers this week boldly predicted that the open architecture will surpass rival chip architectures in performance. "The prediction is two or three years we'll be surpassing your architectures and available performance with... Read more…
Jack Dongarra: A Not So Simple Matter of Software
November 16, 2022
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22. Read more…
Europe’s Chip Sovereignty Altering US Chip Companies’ Exascale Approach
November 16, 2022
Europe’s sovereign approach to exascale computing is complicating plans for U.S. chipmakers to breakthrough in the market, and in the process, empowering local chipmakers. For one, a European chip startup called SiPearl is emerging as an early... Read more…
MLCommons Issues MLPerf HPC Training Results for Larger Systems
November 14, 2022
MLCommons last week issued its third annual set of MLPerf HPC (v2.0) results intended to showcase the performance of larger systems when training more rigorous Read more…
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Whitepaper
Porting CUDA Applications to Run on AMD GPUs
Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).
This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.
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Sponsored by AMD
Whitepaper
QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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Sponsored by QCT
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Whitepaper: Porting CUDA Applications to Run on AMD GPUs
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Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
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SC22 is almost here: Visit AWS at booth 2425
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TotalCAE Platform makes it easy to use multi-GPU CFD solvers on-prem and cloud
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Join OSS in Dallas at SC22 from November 14-18
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Visit Arm at SuperComputing 22 in Dallas, TX, Nov 14-17
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