Articles on High Performance Computing
Feb 13 2024
Stone Ridge Technology announces the availability of a plug-in for Petrel which allows users to launch ECHELON locally, on a networked cluster, or in the cloud.
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Oct 17 2023
ECHELON now supports AMD Instinct accelerators
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Aug 28 2023
For our first benchmark study on the NVIDIA Hopper architecture, we present ECHELON performance numbers for 10 asset models executing on the NVIDIA Volta, NVIDIA Ampere, and NVIDIA Hopper architectures. The longstanding trend of performance scaling with memory bandwidth continues.
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Aug 18 2023
Leveraging modern GPUs and neural computing libraries, scientists are using deep learning technology to solve differential equations that emerge from a diverse set of physics-based problems. This blog introduces the topic and explores potential applications and limitations of the technology.
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Dec 01 2022
Computing hardware capability has grown exponentially while software evolution occurs much more slowly, constrained by human effort. The mismatch bestows undue longevity to legacy codes and leads to significant inefficiency and lost productivity. The solution is new software optimally designed for the latest hardware.
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Jul 07 2016
The stakes are very high and the HPC hardware market only scratches the surface. The real cost is in the millions of person-hours that will be invested in...
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Dec 09 2015
An organization can no longer ask a geoscientist, chemist or reservoir engineer to write a modeling and simulation code. Computational Scientists fill the gap.
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Nov 09 2015
The difficulty of parallel programming has led to conspicuous trends in HPC: lagging performance of legacy codes & emergence of the computational scientist.
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Oct 31 2015
It's gratifying to make a computer perform to its specifications. Some of us have made a career of it in the discipline of high performance computing (HPC).
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Oct 27 2015
Stone Ridge Technology's thoughts on the adoption of GPUs & success NVIDIA has attained in promoting them in the last decade.
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Oct 19 2015
The only way to achieve performance on modern processors is through deliberate design that makes effective use of massive on-chip parallelism.
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Oct 16 2015
Many of the codes we use today for business critical decisions were written for computers that no longer exist, leaving a large & growing performance achievement gap.
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