The 61st edition of the TOP500 reveals that the Frontier system out of Oak Ridge National Laboratory (ORNL) remains the only true exascale machine on the list.
Increasing its HPL score from 1.02 Eflop/s in November 2022 to an impressive 1.194 Eflop/s on this list, Frontier was able to improve upon its score after a stagnation between June 2022 and November 2022.
For the last five years, Lenovo has been the top provider on the TOP500 list of supercomputers, and the release of the June 2023 list during ISC23 was no different. With a whopping 168 Lenovo ThinkSystems (that’s 33% of the list), the company’s reach is widespread – reaching 19 different global markets from Australia to the United States and many more between. Additionally, sitting atop the Green500 list as the world’s most energy efficient supercomputer, is Flatiron Institute’s Henri system, built on Lenovo
technology.
A new global high performance computing (HPC) study by Hyperion Research sponsored by Dell Technologies, Intel, and NVIDIA finds evidence of a remarkable rise of sustainability and energy efficiency to the top of priority lists for many HPC datacenter procurement plans, second only to performance, even more imperative than price. A culmination of several geopolitical factors and HPC utilization trends in recent years has made the issue of sustainability unavoidable for many HPC sites.
AMD today announced the AMD Versal Premium VP1902 adaptive system-on-chip (SoC), which the company said is the largest1 adaptive SoC. The processor is an emulation-class, chiplet-based device for streamlining the verification of semiconductor designs. Offering 2X2 the capacity over the prior generation, AMD said designers can innovate and validate application-specific integrated circuits (ASICs) and SoC designs […]
The post AMD Introduces FPGA-Based Adaptive SoC for Semiconductor Emulation and Prototyping appeared first on High-Performance Computing News Analysis | insideHPC.
Framingham, Mass. – June 27, 2023 – Bluespec Inc. today announced its new MCUX RISC-V processor designed to ease implementation of custom instructions and the addition of accelerators to FPGAs and ASICs. The MCUX is an extension of Bluespec’s MCU RISC-V processor family, which is targeted at ultra-low resource utilization on FPGAs. Bluespec said the […]
The post Bluespec Launches MCUX RISC-V Processor appeared first on High-Performance Computing News Analysis | insideHPC.
It was a fortuitous coincidence that Nvidia was already working on massively parallel GPU compute engines for doing calculations in HPC simulations and models when the machine learning tipping point happened, and similarly, it was fortunate for InfiniBand that it had the advantage of high bandwidth, low latency, and remote direct memory access across GPUs at that same moment. …
Cisco Guns For InfiniBand With Silicon One G200 was written by Timothy Prickett Morgan at The Next Platform.
To Andrew Davidson, senior vice president of products at MongoDB, the database business operates in an entirely different type of market than traditional software, where vendors might sell their products into one organization after another, eventually reaching a saturation point. …
Beefing Up A Cloudy NoSQL Database To Ride The AI Wave was written by Jeffrey Burt at The Next Platform.
For the last five years, Lenovo has been the top provider on the TOP500 list of supercomputers, and the release of the June 2023 list during ISC23 was no different. With a whopping 168 Lenovo ThinkSystems (that’s 33% of the list), the company’s reach is widespread – reaching 19 different global markets from Australia to the United States and many more between. Additionally, sitting atop the Green500 list as the world’s most energy efficient supercomputer, is Flatiron Institute’s Henri system, built on Lenovo
technology.
A new global high performance computing (HPC) study by Hyperion Research sponsored by Dell Technologies, Intel, and NVIDIA finds evidence of a remarkable rise of sustainability and energy efficiency to the top of priority lists for many HPC datacenter procurement plans, second only to performance, even more imperative than price. A culmination of several geopolitical factors and HPC utilization trends in recent years has made the issue of sustainability unavoidable for many HPC sites.
The 61st edition of the TOP500 reveals that the Frontier system out of Oak Ridge National Laboratory (ORNL) remains the only true exascale machine on the list.
Increasing its HPL score from 1.02 Eflop/s in November 2022 to an impressive 1.194 Eflop/s on this list, Frontier was able to improve upon its score after a stagnation between June 2022 and November 2022.
Frontier is the No. 1 system in the TOP500. This HPE Cray EX system is the first US system with a performance exceeding one Exaflop/s. It is installed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, where it is operated for the Department of Energy (DOE). It currently has achieved 1.194 Exaflop/s using 8,699,904 cores. The HPE Cray EX architecture combines 3rd Gen AMD EPYC™ CPUs optimized for HPC and AI, with AMD Instinct™ 250X accelerators, and Slingshot-11 interconnect.
Fugaku, the No. 2 system, is installed at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan. It has 7,630,848 cores which allowed it to achieve an HPL benchmark score of 442 Pflop/s.
The LUMI system, another HPE Cray EX system installed at EuroHPC center at CSC in Finland is the No. 3 with a performance of 309.1 Pflop/s. The European High-Performance Computing Joint Undertaking (EuroHPC JU) is pooling European resources to develop top-of-the-range Exascale supercomputers for processing big data. One of the pan-European pre-Exascale supercomputers, LUMI, is located in CSC’s data center in Kajaani, Finland.
The No. 4 system Leonardo is installed at a different EuroHPC site in CINECA, Italy. It is an Atos BullSequana XH2000 system with Xeon Platinum 8358 32C 2.6GHz as main processors, NVIDIA A100 SXM4 40 GB as accelerators, and Quad-rail NVIDIA HDR100 Infiniband as interconnect. It achieved a Linpack performance of 238.7 Pflop/s.