Evaluating GPGPU Memory Performance Through the C-AMAT
Model
Author/Presenter
Event Type
Workshop
Compiler Analysis and Optimization
NVRAM
Parallel Programming Languages, Libraries, Models
and Notations
Performance
SIGHPC Workshop
TimeSunday, November 12th12:15pm -
12:30pm
Location702
DescriptionGeneral Purpose Graphics Processing Units (GPGPU) have
become a popular platform to accelerate computing.
However, while they provide additional computing powers,
GPGPU have put even more pressure on the already
behindhand memory systems. Memory performance is an
identified performance killer of GPGPU. Evaluating,
understanding, and improving GPGPU data access delay is
an imperative research issue of high-performance
computing. In this study, we utilize the newly proposed
C-AMAT (Concurrent Average Memory Access Time) model to
measure the memory performance of GPGPU. We first
introduce a GPGPU-specialized measurement design of
C-AMAT. Then the modern GPGPU simulator, GPGPU-Sim, is
used to carry the performance study. Finally, the
performance results are analyzed.
Author/Presenter
