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GPU Computing with Python: Performance, Energy Efficiency and Usability

GPU Computing with Python: Performance, Energy Efficiency and Usability

H. Holm
A. Brodtkorb
M. L. Sætra
ArXiv (abs)PDFHTML

Papers citing "GPU Computing with Python: Performance, Energy Efficiency and Usability"

4 / 4 papers shown
Title
Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Radu Apsan
Vincenzo Stoico
Michel Albonico
Rudra Dhar
Karthik Vaidhyanathan
I. Malavolta
36
1
0
12 Sep 2025
RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
Lei Zhao
Aishwarya Natarajan
Luca Buonanno
Archit Gajjar
Ron M. Roth
Sergey Serebryakov
John Moon
Jim Ignowski
Giacomo Pedretti
149
0
0
29 Nov 2023
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
R. Schoonhoven
B. Veenboer
Ben van Werkhoven
K. Batenburg
66
17
0
14 Nov 2022
Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL
Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL
P. Heinisch
K. Ostaszewski
Hendrik Ranocha
14
5
0
08 Mar 2020

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