This paper presents a light-weight dynamic optimization framework for homogeneous multicores. Our system profiles applications at runtime to detect hot program paths, and offloads the optimization of these paths to a Partner core. Our work contributes two insights: (1) that the dynamic optimization process is highly insensitive to runtime factors in homogeneous multicores and (2) that the Partner core's view of application hot paths can be noisy, allowing the entire optimization process to be implemented with very little dedicated hardware in a multicore
Increasingly complex consumer electronics applications call for embedded processors with higher perf...
Two widely used approaches for reducing energy consumption in multithreaded workloads are slowdown (...
Computer systems are resource constrained. Application adaptation is a useful way to optimize system...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.My work discusses various str...
Multi-core platforms have spread to all corners of the computing industry, and trends in design and ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Enhancing the match between software executions and hardware features is key to computing efficiency...
The power, frequency, and memory wall problems have caused a major shift in mainstream computing by ...
As the microprocessor industry embraces multicore architectures, inherently parallel applications be...
As the push for parallelism continues to increase the number of cores on a chip, and add to the comp...
textConventional CMOS scaling has been the engine of the technology revolution in most application d...
Heterogeneous processors such as Arm’s big.LITTLE have become popular as they offer a choice betwee...
Dynamically optimizing programs is worthwhile only if the overhead created by the dynamic optimizer ...
AbstractMulticore is quickly becoming the norm, even in the embedded world. This trend is thought to...
Increasingly complex consumer electronics applications call for embedded processors with higher perf...
Two widely used approaches for reducing energy consumption in multithreaded workloads are slowdown (...
Computer systems are resource constrained. Application adaptation is a useful way to optimize system...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.My work discusses various str...
Multi-core platforms have spread to all corners of the computing industry, and trends in design and ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Enhancing the match between software executions and hardware features is key to computing efficiency...
The power, frequency, and memory wall problems have caused a major shift in mainstream computing by ...
As the microprocessor industry embraces multicore architectures, inherently parallel applications be...
As the push for parallelism continues to increase the number of cores on a chip, and add to the comp...
textConventional CMOS scaling has been the engine of the technology revolution in most application d...
Heterogeneous processors such as Arm’s big.LITTLE have become popular as they offer a choice betwee...
Dynamically optimizing programs is worthwhile only if the overhead created by the dynamic optimizer ...
AbstractMulticore is quickly becoming the norm, even in the embedded world. This trend is thought to...
Increasingly complex consumer electronics applications call for embedded processors with higher perf...
Two widely used approaches for reducing energy consumption in multithreaded workloads are slowdown (...
Computer systems are resource constrained. Application adaptation is a useful way to optimize system...