International audiencePortability of performance has been the underlying assumption for the vast majority of software developments. Micro-architectures and run-time systems have been designed to hide the parallelism and non-uniformity of the hardware, but with diminishing returns in performance and poor power efficiency. Despite decades of successes with optimizing compilers, the complexity of modern hardware has incrementally destroyed this dream for most developers. Every day, more programmers are forced to resort to platformspecific optimizations, committing early on specific parallel implementations. This is a dramatic regression
To run a software application on a large number of parallel processors, N, and expect to obtain spee...
Modern computing is power-limited in every domain of computing. Performance increments extracted fro...
Software must be optimized for both threaded and SIMD vector parallelism to achieve scaled performa...
International audiencePortability of performance has been the underlying assumption for the vast maj...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Characteristics of full applications found in scientific computing industries today lead to challeng...
Abstract. Helping programmers write parallel software is an urgent problem given the popularity of m...
Due to stagnating processor clock rates, parallelism will be the source for future performance impro...
Compiler-based auto-parallelization is a much studied area, yet has still not found wide-spread appl...
Despite the processor industry having more or less successfully invested already 10 years to develop...
Compiler-based auto-parallelization is a much studied area, yet has still not found wide-spread appl...
The general-purpose computing industry is at a major cross-roads. Power constraints and design compl...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Parallel computing is not the new kid on the block. Interest in this area exists since the developme...
To run a software application on a large number of parallel processors, N, and expect to obtain spee...
Modern computing is power-limited in every domain of computing. Performance increments extracted fro...
Software must be optimized for both threaded and SIMD vector parallelism to achieve scaled performa...
International audiencePortability of performance has been the underlying assumption for the vast maj...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Characteristics of full applications found in scientific computing industries today lead to challeng...
Abstract. Helping programmers write parallel software is an urgent problem given the popularity of m...
Due to stagnating processor clock rates, parallelism will be the source for future performance impro...
Compiler-based auto-parallelization is a much studied area, yet has still not found wide-spread appl...
Despite the processor industry having more or less successfully invested already 10 years to develop...
Compiler-based auto-parallelization is a much studied area, yet has still not found wide-spread appl...
The general-purpose computing industry is at a major cross-roads. Power constraints and design compl...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Parallel computing is not the new kid on the block. Interest in this area exists since the developme...
To run a software application on a large number of parallel processors, N, and expect to obtain spee...
Modern computing is power-limited in every domain of computing. Performance increments extracted fro...
Software must be optimized for both threaded and SIMD vector parallelism to achieve scaled performa...