Add to ORKGInternational audienceThis article introduces MTPS, a C++ template library dedicated at vectorizing algorithms for different target architectures. Algorithms written with MTPS benefit from optimized memory access patterns and show performances close to hardware limits, both on multicore CPU and on GPU
Today, the field of high-speed computers and supercomputing applications is dominated by the vector-...
As the single-core performance of CPUs plateaus and becomes constrained by power consumption, more a...
Vectorization is data parallelism (SIMD, SIMT, etc.) - extension of ISA enabling the same instructio...
Abstract. This article introduces a C++ template library dedicated at vectorizing algorithms for dif...
International audienceThis article introduces MTPS, a C++ template library dedicated at vectorizing ...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
We present a new C++ library design for linear algebra computations on high performance architecture...
This paper discusses the design and implementation of a polymorphic collection library for distribut...
Abstract—SIMD vectors are widely adopted in modern general purpose processors as they can boost perf...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
We present a generic programming methodology for expressing data structures and algorithms for high-...
International audienceGPGPUs and other accelerators are becoming a mainstream asset for high-perform...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
English: Power consumption has become one of the dominant issues in processor design, especially imp...
This paper describes the Boost C++ template metaprogramming library (MPL), an extensible compile-tim...
Today, the field of high-speed computers and supercomputing applications is dominated by the vector-...
As the single-core performance of CPUs plateaus and becomes constrained by power consumption, more a...
Vectorization is data parallelism (SIMD, SIMT, etc.) - extension of ISA enabling the same instructio...
Abstract. This article introduces a C++ template library dedicated at vectorizing algorithms for dif...
International audienceThis article introduces MTPS, a C++ template library dedicated at vectorizing ...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
We present a new C++ library design for linear algebra computations on high performance architecture...
This paper discusses the design and implementation of a polymorphic collection library for distribut...
Abstract—SIMD vectors are widely adopted in modern general purpose processors as they can boost perf...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
We present a generic programming methodology for expressing data structures and algorithms for high-...
International audienceGPGPUs and other accelerators are becoming a mainstream asset for high-perform...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
English: Power consumption has become one of the dominant issues in processor design, especially imp...
This paper describes the Boost C++ template metaprogramming library (MPL), an extensible compile-tim...
Today, the field of high-speed computers and supercomputing applications is dominated by the vector-...
As the single-core performance of CPUs plateaus and becomes constrained by power consumption, more a...
Vectorization is data parallelism (SIMD, SIMT, etc.) - extension of ISA enabling the same instructio...