This paper 1 describes our experience using the stack pro-cessing algorithm [6] for estimating the number of cache misses in scientic programs. By using a new data structure and various optimization techniques we obtain instrumented run-times within 50 to 100 times the original optimized run-times of our benchmarks
International audience<p>The growing complexity of modern computer architectures increasingly compli...
Performance metrics and models are prerequisites for scientific understanding and optimization. This...
A scalar metric for temporal locality is proposed. The metric is based on LRU stack distance. This p...
124 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.We use stack distances to qua...
The replacement policies known as MIN and OPT are optimal for a two-level memory hierarchy. The comp...
The technological improvements in silicon manufacturing are yielding vast increases of processor &ap...
Measurements of actual supercomputer cache performance has not been previously undertaken. PFC-Sim i...
The potential for improving the performance of data-intensive scientific programs by enhancing data ...
The growing gap between processor clock speed and DRAM access time puts new demands on software and ...
The concept of stack distance, applicable to the important class of inclusion replacement policies f...
Many programs execution speed suffer from cache misses. These can be reduced on three different leve...
We present a novel, compile-time method for determining the cache performance of the loop nests in a...
In this paper we present a method for determining the cache performance of the loop nests in a progr...
As computing efficiency becomes constrained by hardware scaling limitations, code optimization grows...
Cache is one of the most widely used components in today's computing systems. Its performance is hea...
International audience<p>The growing complexity of modern computer architectures increasingly compli...
Performance metrics and models are prerequisites for scientific understanding and optimization. This...
A scalar metric for temporal locality is proposed. The metric is based on LRU stack distance. This p...
124 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.We use stack distances to qua...
The replacement policies known as MIN and OPT are optimal for a two-level memory hierarchy. The comp...
The technological improvements in silicon manufacturing are yielding vast increases of processor &ap...
Measurements of actual supercomputer cache performance has not been previously undertaken. PFC-Sim i...
The potential for improving the performance of data-intensive scientific programs by enhancing data ...
The growing gap between processor clock speed and DRAM access time puts new demands on software and ...
The concept of stack distance, applicable to the important class of inclusion replacement policies f...
Many programs execution speed suffer from cache misses. These can be reduced on three different leve...
We present a novel, compile-time method for determining the cache performance of the loop nests in a...
In this paper we present a method for determining the cache performance of the loop nests in a progr...
As computing efficiency becomes constrained by hardware scaling limitations, code optimization grows...
Cache is one of the most widely used components in today's computing systems. Its performance is hea...
International audience<p>The growing complexity of modern computer architectures increasingly compli...
Performance metrics and models are prerequisites for scientific understanding and optimization. This...
A scalar metric for temporal locality is proposed. The metric is based on LRU stack distance. This p...