Hewlett Packard Enterprise Frontier, or OLCF-5, is the world's first and fastest exascale supercomputer, hosted at the Oak Ridge Leadership Computing Facility (OLCF) in Tennessee, United States and first operational in 2022. It is based on the Cray EX and is the successor to Summit (OLCF-4). , Frontier is the world's fastest supercomputer. Frontier achieved an Rmax of 1.102 exaFLOPS, which is 1.102 quintillion operations per second, using AMD CPUs and GPUs. Measured at 62.86 gigaflops/watt, Frontier topped the Green500 list for most efficient supercomputer, until it was dethroned (in efficiency) by Flatiron Institute's Henri supercomputer in November 2022.
Frontier uses 9,472 AMD Epyc 7453s "Trento" 64 core 2 GHz CPUs (606,208 cores) and 37,888 Radeon Instinct MI250X GPUs (8,335,360 cores). They can perform double precision operations at the same speed as single precision.
"Trento" is an optimized 3rd Gen EPYC CPU ("Milan"), which itself is based on the Zen 3 microarchitecture.
It occupies 74 rack cabinets. Each cabinet hosts 64 blades, each consisting of 2 nodes.
Blades are interconnected by HPE Slingshot 64-port switch that provides 12.8 terabits/second of bandwidth. Groups of blades are linked in a dragonfly topology with at most three hops between any two nodes. Cabling is either optical or copper, customized to minimize cable length. Total cabling runs . Frontier is liquid-cooled, allowing 5x the density of air-cooled architectures.
Each node consists of one CPU, 4 GPUs and 4 terabytes of flash memory. Each GPU has 128 GB of RAM soldered onto it.
Frontier has coherent interconnects between CPUs and GPUs, allowing GPU memory to be accessed coherently by code running on the Epyc CPUs.
Frontier uses an internal 75 TB/s read / 35 TB/s write / 15 billion IOPS flash storage system, along with the 700 PB Orion site-wide .
Frontier consumes 21 megawatts (MW) (compared to its predecessor Summit's 13 MW); it has been estimated that the next US exascale system, Aurora, will consume around 60 MW.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up
prototypes to Spark clusters. It exposes the students to the entire data science pipe
The course introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies with a focus on the biophysical level.
Fugaku 富岳 is a petascale supercomputer at the Riken Center for Computational Science in Kobe, Japan. It started development in 2014 as the successor to the K computer and made its debut in 2020. It is named after an alternative name for Mount Fuji. It became the fastest supercomputer in the world in the June 2020 TOP500 list as well as becoming the first ARM architecture-based computer to achieve this. At this time it also achieved 1.42 exaFLOPS using the mixed fp16/fp64 precision HPL-AI benchmark.
Exascale computing refers to computing systems capable of calculating at least "1018 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exaFLOPS)"; it is a measure of supercomputer performance. Exascale computing is a significant achievement in computer engineering: primarily, it allows improved scientific applications and better prediction accuracy in domains such as weather forecasting, climate modeling and personalised medicine.
The TOP500 project ranks and details the 500 most powerful non-distributed computer systems in the world. The project was started in 1993 and publishes an updated list of the supercomputers twice a year. The first of these updates always coincides with the International Supercomputing Conference in June, and the second is presented at the ACM/IEEE Supercomputing Conference in November.
The complexity of biological systems and processes, spanning molecular to macroscopic scales, necessitates the use of multiscale simulations to get a comprehensive understanding. lar dynamics (MD) simulations are crucial for capturing processes beyond the ...
Current Biology Ltd2024
Numerical simulations are of a tremendous help to understand the growth of non-linear cosmological structures and how they lead to the formation of galaxies. In recent years, with the goal of improving their prediction power, new hydrodynamical techniques ...
EPFL2021
, , ,
Quantum ESPRESSO is an open-source distribution of computer codes for quantum-mechanical materials modeling, based on density-functional theory, pseudopotentials, and plane waves, and renowned for its performance on a wide range of hardware architectures, ...