AbstractIn current multi-core systems with the shared last level cache (LLC) physically distributed across all the cores, both initial data placement and subsequent placement of data close to the requesting core can contribute to reducing memory access latency and power consumption. This paper extends a replication scheme that balances between access latency and cache capacity in shared NUCA designs by selectively replicating frequently used cache lines close to the requesting cores. Our scheme reduces completion time by 15% and improves energy consumption by 27% when compared to the Static-NUCA (S-NUCA) management scheme, when simulated on an eight core system
Increases in on-chip communication delay and the large working sets of server and scientific workloa...
Abstract—Cache hierarchies are increasingly non-uniform, so for systems to scale efficiently, data m...
Data-intensive applications put immense strain on the memory systems of Graphics Processing Units (G...
AbstractIn current multi-core systems with the shared last level cache (LLC) physically distributed ...
Next generation multicores will process massive data with varying degree of locality. Harnessing on-...
The last level on-chip cache (LLC) is becoming bigger and more complex to effectively support the va...
Improvements in semiconductor nanotechnology made chip multiprocessors the reference architecture fo...
Next generation multicores will process massive data with varying degree of locality. Harnessing on-...
In 2005, as chip multiprocessors started to appear widely, it became possible for the on-chip cores ...
The effectiveness of the last-level shared cache is crucial to the performance of a multi-core syste...
In this work, we propose a new organization for the last level shared cache of a multicore system. O...
Abstract— Chip Multiprocessor (CMP) systems have become the reference architecture for designing mi...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Designing an efficient memory system is a big challenge for future multicore systems. In particular,...
Abstract: Non-uniform cache architecture (NUCA) aims to limit the wire-delay problem typical of lar...
Increases in on-chip communication delay and the large working sets of server and scientific workloa...
Abstract—Cache hierarchies are increasingly non-uniform, so for systems to scale efficiently, data m...
Data-intensive applications put immense strain on the memory systems of Graphics Processing Units (G...
AbstractIn current multi-core systems with the shared last level cache (LLC) physically distributed ...
Next generation multicores will process massive data with varying degree of locality. Harnessing on-...
The last level on-chip cache (LLC) is becoming bigger and more complex to effectively support the va...
Improvements in semiconductor nanotechnology made chip multiprocessors the reference architecture fo...
Next generation multicores will process massive data with varying degree of locality. Harnessing on-...
In 2005, as chip multiprocessors started to appear widely, it became possible for the on-chip cores ...
The effectiveness of the last-level shared cache is crucial to the performance of a multi-core syste...
In this work, we propose a new organization for the last level shared cache of a multicore system. O...
Abstract— Chip Multiprocessor (CMP) systems have become the reference architecture for designing mi...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Designing an efficient memory system is a big challenge for future multicore systems. In particular,...
Abstract: Non-uniform cache architecture (NUCA) aims to limit the wire-delay problem typical of lar...
Increases in on-chip communication delay and the large working sets of server and scientific workloa...
Abstract—Cache hierarchies are increasingly non-uniform, so for systems to scale efficiently, data m...
Data-intensive applications put immense strain on the memory systems of Graphics Processing Units (G...