Happy April Fool’s Day! It was as always an interesting week in the world of HPC-AI, this edition of HPC News Bytes includes commentary on: Microsoft and….
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HPC News Bytes 20240401: A $100B AI Data Center, Eviden Says It’s Healthy, Alibaba’s RISC-V Chip, New Optical Interconnect Group, Nvidia Fights CUDA Translation
April 1, 2024 by Leave a Comment
NVIDIA CUDA-X to Be Integrated with HP AI Workstations
March 7, 2024 by Leave a Comment
March 7, 2024 — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development. Built on the NVIDIA CUDA compute platform, CUDA-X libraries speed data processing for a broad range of data […]
HPC News Bytes 20240219: AI Safety and Governance, Running CUDA Apps on ROCm, DOE’s SLATE, New Advanced Chips
February 19, 2024 by
Happy President’s Day morning to everyone! Today’s HPC News Bytes races (6:22) around the HPC-AI landscape with comments on: developments in AI security and governance, running CUDA (NVIDIA) apps on ROCm (AMD), DOE’s Exascale Software Linear….
Pawsey Adds NVIDIA CUDA Quantum Platform for R&D Simulations
February 18, 2024 by
SYDNEY—SCA2024—Feb. 19, 2024—NVIDIA today announced that Australia’s Pawsey Supercomputing Research Centre will add the NVIDIA CUDA Quantum platform accelerated by NVIDIA Grace Hopper Superchips to its National Supercomputing and Quantum Computing Innovation Hub, in support of its quantum R&D work. Researchers at the Perth-based center will leverage CUDA Quantum — an open-source hybrid quantum computing […]
Quantum Brilliance Announces Software for Compiling Programs Written in CUDA Quantum
March 21, 2023 by
CANBERRA, AUSTRALIA, March 21, 2023 — Quantum Brilliance, a developer of quantum computing products and solutions, has released a new version of its open-source Qristal software able to compile quantum programs written in CUDA Quantum, NVIDIA’s newly announced open-source programming model. Announced today at NVIDIA GTC, a global AI conference, Quantum Brilliance’s new release of Qristal […]
NVIDIA at GTC: 60+ Updates to CUDA-X Libraries for Accelerated Computing
March 22, 2022 by
As NVIDIA kicked off virtual GTC this morning, the company unveiled more than 60 updates to its CUDA-X libraries, tools and technologies for developers building accelerated applications in HPC-related fields such as 6G, quantum computing, genomics, drug discovery and logistics optimization, as well as robotics, cybersecurity and data analytics. NVIDIA also said the CUDA platform […]
CUDA-Python and RAPIDS for blazing fast scientific computing
February 20, 2020 by
Abe Stern from NVIDIA gave this talk at the ECSS Symposium. “We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started.”
Codeplay SYCL 1.2.1 Solution offers an Open Alternative to CUDA
October 18, 2019 by
Today Codeplay announced the world’s first fully-conformant SYCL 1.2.1 Solution. “As a non-proprietary alternative to the incumbent CUDA, SYCL is an open standard developed by the Khronos Group that enables developers to write code for heterogeneous systems using standard C++. Developers are looking at how they can accelerate their applications without having to write optimized processor specific code. SYCL is the industry standard for C++ acceleration, giving developers a platform to write high-performance code in standard C++, unlocking the performance of accelerators and specialized processors from companies such as AMD, Intel, Renesas and Arm.”
Visualizing and Simulating Atomic Structures with CUDA
October 8, 2019 by
In this video, John Stone from the University of Illinois, Urbana-Champaign discusses the role of CUDA and GPUs in processing large datasets to visualize and simulate high-resolution atomic structures. CUDA does this by allowing researchers to describe hundreds of thousands to millions of independent, data-parallel work units and write software that executes on those work units, all while achieving peak hardware performance.
Exploring the Universe with the SKA Radio Telescope and CUDA
July 31, 2019 by
In this video, Wes Armour from the Oxford eResearch Centre discusses the role of GPUs in processing large amounts of astronomical data collected by the Square Kilometre Array and how CUDA is the best suited option for their signal processing software. “The massive computational power of modern day GPUs allows code to perform algorithms such as de-dispersion, single pulse searching and Fourier Domain Acceleration Searching in real-time on very large data-sets which are comparable to those which will be produced by next generation radio-telescopes such as the SKA.”
