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» Power Consumption of GPUs from a Software Perspective
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CODES
2010
IEEE
13 years 5 months ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik
ISCA
2007
IEEE
146views Hardware» more  ISCA 2007»
14 years 1 months ago
Hardware atomicity for reliable software speculation
Speculative compiler optimizations are effective in improving both single-thread performance and reducing power consumption, but their implementation introduces significant compl...
Naveen Neelakantam, Ravi Rajwar, Suresh Srinivas, ...
CODES
2007
IEEE
14 years 1 months ago
Three-dimensional multiprocessor system-on-chip thermal optimization
3D stacked wafer integration has the potential to improve multiprocessor system-on-chip (MPSoC) integration density, performance, and power efficiency. However, the power density...
Chong Sun, Li Shang, Robert P. Dick
ICSE
2009
IEEE-ACM
14 years 2 months ago
Deployment automation with BLITZ
Minimizing the computing infrastructure (such as processors) in a distributed real-time embedded (DRE) system deployment helps reduce system size, weight, power consumption, and c...
Brian Dougherty, Jules White, Jaiganesh Balasubram...
ASPLOS
2010
ACM
13 years 10 months ago
Micro-pages: increasing DRAM efficiency with locality-aware data placement
Power consumption and DRAM latencies are serious concerns in modern chip-multiprocessor (CMP or multi-core) based compute systems. The management of the DRAM row buffer can signif...
Kshitij Sudan, Niladrish Chatterjee, David Nellans...