Compiler techniques for concurrent multithreading with hardware speculation support

1997 ◽  
pp. 175-191 ◽  
Author(s):  
Zhiyuan Li ◽  
Jenn-Yuan Tsai ◽  
Xin Wang ◽  
Pen-Chung Yew ◽  
Bess Zheng
Keyword(s):  
Compiler Techniques

Compiler Techniques for Application Level Memory Optimization for MPSoC

2010 ◽  
pp. 243-268
Author(s):  
Bruno Girodias ◽  
Youcef Bouchebaba ◽  
Pierre Paulin ◽  
Bruno Lavigueur ◽  
Gabriela Nicolescu ◽  
...  
Keyword(s):  
Memory Optimization ◽  
Compiler Techniques

Enhancing Compiler Techniques for Memory Energy Optimizations

2002 ◽  
pp. 364-381 ◽  
Author(s):  
Joseph Zambreno ◽  
Mahmut Taylan Kandemir ◽  
Alok Choudhary
Keyword(s):  
Compiler Techniques ◽  
Energy Optimizations

Compiler Techniques for Flat Neighborhood Networks

2001 ◽  
pp. 244-258 ◽  
Author(s):  
H.G. Dietz ◽  
T.I. Mattox
Keyword(s):  
Compiler Techniques

COMPILER TECHNIQUES FOR OPTIMIZING MEMORY AND REGISTER USAGE ON THE CRAY 2

1990 ◽  
Vol 02 (02) ◽  
pp. 193-222 ◽  
Author(s):  
C. EISENBEIS ◽  
W. JALBY ◽  
A. LICHNEWSKY
Keyword(s):  
Compiler Techniques

Compiling for Scalable Multiprocessors with Polaris

1997 ◽  
Vol 07 (04) ◽  
pp. 425-436 ◽  
Author(s):  
Yunheung Paek ◽  
David A. Padua
Keyword(s):  
Recent Work ◽  
Code Generation ◽  
Experimental Results ◽  
Development Costs ◽  
Work Distribution ◽  
Parallel Code ◽  
Scalable Multiprocessors ◽  
Distributed Memories ◽  
Compiler Techniques

Due to the complexity of programming scalable multiprocessors with physically distributed memories, it is onerous to manually generate parallel code for these machines. As a consequense, there has been much research on the development of compiler techniques to simplify programming, to increase reliability, and to reduce development costs. For code generation, a compiler applies a number of transformations in areas such as data privatization, data copying and replication, synchronization, and data and work distribution. In this paper, we discuss our recent work on the development and implementation of a few compiler techniques for some of these transformations. We use Polaris, a parallelizing Fortran restructurer developed at Illinois, as the infrastructure to implement our algorithms. The paper includes experimental results obtained by applying our techniques to several benchmark codes.

scholarly journals Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading

2017 ◽  
Author(s):  
Manish Gupta ◽  
Daniel Lowell ◽  
John Kalamatianos ◽  
Steven Raasch ◽  
Vilas Sridharan ◽  
...  
Keyword(s):  
Synchronization Overhead ◽  
Redundant Multithreading ◽  
Compiler Techniques
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