Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing

Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing

In the last decade, there have been tectonic shifts in computer hardware because of reaching the physical limits of the sequential CPU performance. As a consequence, current high-performance computing (HPC) systems integrate a wide variety of compute resources with different capabilities and executi...

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Bibliographic Details
Main Author: Helal, Ahmed Elmohamadi Mohamed
Other Authors: Electrical and Computer Engineering
Format: Others
Language:en
Published: Virginia Tech 2020
Subjects:
Parallel Architectures
Accelerators
Heterogeneous Computing
Performance Modeling
Runtime Adaptation
Scheduling
Performance Portability
MPI
GPU
LLVM
Online Access:http://hdl.handle.net/10919/96607

Internet

http://hdl.handle.net/10919/96607

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