Cache memories currently treat all blocks as if they were equally important. This assumption of equally important blocks is not always valid. For instance, not all blocks deserve to be in L1 cache. We therefore propose globalized block placement. We present a global placement algorithm for managing blocks in a cache hierarchy by deciding where in the hierarchy an incoming block should be placed. Our technique makes decisions by adapting to access patterns of different blocks. The contributions of this paper are fourfold. First, we motivate our solution by demonstrating the im- portance of a globalized placement scheme. Second, we present a method to categorize cache block behavior into one of four categories. Third, we present one potential...
As cache hierarchies become deeper and the number of cores on a chip increases, managing caches beco...
[EN] Multi-level buffer cache hierarchies are now commonly seen in most client/server cluster config...
Journal ArticleIn future multi-cores, large amounts of delay and power will be spent accessing data...
Cache memories currently treat all blocks as if they were equally important. This assumption of equa...
Dead blocks are handled inefficiently in the multi-level cache hierarchies of many-core architecture...
Multilevel caching is common in many storage config-urations, introducing new challenges to cache ma...
The performance gap between processor and memory continues to remain a major performance bottleneck ...
Cache replacement policy is a major design parameter of any memory hierarchy. The efficiency of the ...
This dissertation analyzes a way to improve cache performance via active management of a target cach...
Cache performance has been critical for large scale systems. Until now, many multilevel cache manage...
Dead blocks are handled inefficiently in multi-level cache hierarchies because the decision as to wh...
Abstract. Caching popular content in the Internet has been recognized as one of the effective soluti...
Efficient cache hierarchy management is of a paramount importance when designing high performance pr...
Task-parallel programs inefficiently utilize the cache hierarchy due to the presence of dead blocks ...
Part 1: Systems, Networks and ArchitecturesInternational audienceHybrid cache architecture (HCA), wh...
As cache hierarchies become deeper and the number of cores on a chip increases, managing caches beco...
[EN] Multi-level buffer cache hierarchies are now commonly seen in most client/server cluster config...
Journal ArticleIn future multi-cores, large amounts of delay and power will be spent accessing data...
Cache memories currently treat all blocks as if they were equally important. This assumption of equa...
Dead blocks are handled inefficiently in the multi-level cache hierarchies of many-core architecture...
Multilevel caching is common in many storage config-urations, introducing new challenges to cache ma...
The performance gap between processor and memory continues to remain a major performance bottleneck ...
Cache replacement policy is a major design parameter of any memory hierarchy. The efficiency of the ...
This dissertation analyzes a way to improve cache performance via active management of a target cach...
Cache performance has been critical for large scale systems. Until now, many multilevel cache manage...
Dead blocks are handled inefficiently in multi-level cache hierarchies because the decision as to wh...
Abstract. Caching popular content in the Internet has been recognized as one of the effective soluti...
Efficient cache hierarchy management is of a paramount importance when designing high performance pr...
Task-parallel programs inefficiently utilize the cache hierarchy due to the presence of dead blocks ...
Part 1: Systems, Networks and ArchitecturesInternational audienceHybrid cache architecture (HCA), wh...
As cache hierarchies become deeper and the number of cores on a chip increases, managing caches beco...
[EN] Multi-level buffer cache hierarchies are now commonly seen in most client/server cluster config...
Journal ArticleIn future multi-cores, large amounts of delay and power will be spent accessing data...