At Virtual SC20, Dr. Rene Meyer, VP of technology at AMAX Information Technologies, spent time with us explaining developments and trends driving new levels of HPC-class performance in support of advanced AI solutions. AMAX is focused on application-tailored cloud, data center, open architecture platforms, HPC, deep learning and OEM server manufacturing solutions. The company’s customers […]
Search Results for: CPU
At Virtual SC20: AMAX Pushes the CPU-GPU Compute Envelop with PCIe Gen 4.0 for HPC/AI
November 16, 2020 by
HPE Cray EX with AMD CPUs-GPUs to Deliver 552PFLOPS for Finland’s CSC
October 21, 2020 by
The HPE-AMD supercomputing tandem has had a bang-out week for systems wins and installations – and it’s only Wednesday. On Monday, Australia’s Pawsey Supercomputing Centre announced HPE has been awarded a $48 AUD million systems contract. Yesterday, Los Alamos National Lab said it has stood up “Chicoma,” based on AMD processors and the HPE Cray […]
IBM Launches 7nm POWER10 CPU
August 17, 2020 by
IBM today announced a new IBM POWER10 CPU family, its first 7nm form factor platform, built with Samsung, designed for enterprise hybrid cloud computing with up to 3x greater processor energy efficiency, workload capacity, and container density than its predecessor, according to the company. According to IBM, POWER10 highlights include: Support for multi-petabyte memory clusters […]
Purdue’s ‘Anvil’ to Be Driven by Dell, AMD ‘Milan’ CPUs, Nvidia A100 Tensor Core GPUs
June 8, 2020 by
Another in a series of National Science Foundation supercomputing awards has been announced, this one a $10 million funding for a system to be housed at Purdue University to support HPC and AI workloads and scheduled to enter production next year. The system, dubbed Anvil, will be built in partnership with Dell and AMD and […]
MemCPU XPC SaaS Platform available free for COVID-19 Research
April 10, 2020 by
Today MemComputing announced that its Xtreme Performance Computing (XPC) Software as a Service (SaaS) will be made free for evaluation to all researchers and developers working in response to the COVID-19 crisis. This initiative comes from MemComputing’s ambition to identify opportunities where its technology may aid the fight against the global pandemic. “MemComputing harnesses the power of physics to dramatically reduce compute times for today’s most complex computational problems associated with optimization, big data analytics, and machine learning. By providing a free evaluation of the MemCPU XPC SaaS, MemComputing hopes to accelerate the process of finding solutions to the COVID-19 crisis on a global scale.”
Benchmarking CPUs at Shell
March 17, 2020 by
Ronald Cogswell from Shell gave this talk at the Rice Oil & Gas Conference. “In this presentation we will compare the benchmarking results from the latest 2 generations of CPU hardware from AMD and Intel. The benchmarks were conducted using proprietary Seismic kernels as well as known open source benchmarks. The study focused on memory bandwidth, flops and overall performance and provides results of real-world production Seismic workloads.”
Video: Next Generation AMD CPU and Accelerator Technologies
March 7, 2020 by
Bradley McCredie from AMD gave this talk at the Rice Oil & Gas Conference. “While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications.”
SLIDE algorithm for training deep neural nets faster on CPUs than GPUs
March 2, 2020 by
Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning engine” (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware. “Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures.”
ScaleMP and AMD Benchmark Best-in-Class Large-System Performance on SPEC CPU 2017
January 16, 2020 by
Today ScaleMP announced that it has accomplished best-ever recorded results for the SPEC CPU 2017 benchmark for any system size of four processors and higher. ScaleMP’s results for 32-, 24- and 16-processor systems are now holding the top three positions for best results ever. “We are extremely pleased with these new benchmark results, which show superiority across the board,” said Shai Fultheim, founder and CEO of ScaleMP. “Customers can now scale their systems on demand for more computing or more memory, pay only for what they need, and be sure that they are buying the best and most cost-effective solution available that delivers the best performance.”
Podcast: RISC-V CEO Sees Bright Global Future for Open Source CPUs
October 29, 2019 by
In this podcast, the Radio Free HPC team catches up with Calista Redmond, CEO of RISC-V. “RISC-V can be used for light weight tasks such as embedded processing but, on the other hand, is also going to be utilized as the system accelerator for the European Exascale initiative boxes. That’s some serious flexibility.”
