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DGX-A100 Face to Face DGX-2-Performance, Power and Thermal Behavior Evaluation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10247602" target="_blank" >RIV/61989100:27740/21:10247602 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1996-1073/14/2/376" target="_blank" >https://www.mdpi.com/1996-1073/14/2/376</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/en14020376" target="_blank" >10.3390/en14020376</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DGX-A100 Face to Face DGX-2-Performance, Power and Thermal Behavior Evaluation

  • Original language description

    Nvidia is a leading producer of GPUs for high-performance computing and artificial intelligence, bringing top performance and energy-efficiency. We present performance, power consumption, and thermal behavior analysis of the new Nvidia DGX-A100 server equipped with eight A100 Ampere microarchitecture GPUs. The results are compared against the previous generation of the server, Nvidia DGX-2, based on Tesla V100 GPUs. We developed a synthetic benchmark to measure the raw performance of floating-point computing units including Tensor Cores. Furthermore, thermal stability was investigated. In addition, Dynamic Frequency and Voltage Scaling (DVFS) analysis was performed to determine the best energy-efficient configuration of the GPUs executing workloads of various arithmetical intensities. Under the energy-optimal configuration the A100 GPU reaches efficiency of 51 GFLOPS/W for double-precision workload and 91 GFLOPS/W for tensor core double precision workload, which makes the A100 the most energy-efficient server accelerator for scientific simulations in the market.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energies

  • ISSN

    1996-1073

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

  • UT code for WoS article

    000611196800001

  • EID of the result in the Scopus database

    2-s2.0-85107118476