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ICML
1997
IEEE
14 years 9 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
ICFP
2007
ACM
14 years 8 months ago
Feedback directed implicit parallelism
In this paper we present an automated way of using spare CPU resources within a shared memory multi-processor or multi-core machine. Our approach is (i) to profile the execution o...
Tim Harris, Satnam Singh
HPCA
2007
IEEE
14 years 3 months ago
An Adaptive Cache Coherence Protocol Optimized for Producer-Consumer Sharing
Shared memory multiprocessors play an increasingly important role in enterprise and scientific computing facilities. Remote misses limit the performance of shared memory applicat...
Liqun Cheng, John B. Carter, Donglai Dai
PPOPP
2009
ACM
14 years 9 months ago
A comparison of programming models for multiprocessors with explicitly managed memory hierarchies
On multiprocessors with explicitly managed memory hierarchies (EMM), software has the responsibility of moving data in and out of fast local memories. This task can be complex and...
Scott Schneider, Jae-Seung Yeom, Benjamin Rose, Jo...
ICS
2005
Tsinghua U.
14 years 2 months ago
The implications of working set analysis on supercomputing memory hierarchy design
Supercomputer architects strive to maximize the performance of scientific applications. Unfortunately, the large, unwieldy nature of most scientific applications has lead to the...
Richard C. Murphy, Arun Rodrigues, Peter M. Kogge,...