Add to ORKGArchitecture for dense matrix multiplication on a high-performance reconfigurable syste
UnrestrictedRecently, high-end computing systems have been introduced that employ reconfigurable har...
Abstract. This paper presents a study of performance optimization of dense matrix multiplication on ...
Integrating polyalgorithm library with optimized linear algebra libraries on HPC platforms, leveragi...
MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable i...
A framework for high-performance matrix multiplication based on hierarchical abstractions, algorithm...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
As users and developers, we are witnessing the opening of a new computing scenario: the introduction...
In this project I optimized the Dense Matrix-Matrix multiplication calculation by tiling the matrice...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
Masters Research - Master of Philosophy (MPhil)Matrix-vector multiplication is widely used in scienc...
10.1145/2503210.2503234International Conference for High Performance Computing, Networking, Storage ...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
This paper describes a novel parallel algorithm that implements a dense matrix multiplication operat...
UnrestrictedRecently, high-end computing systems have been introduced that employ reconfigurable har...
Abstract. This paper presents a study of performance optimization of dense matrix multiplication on ...
Integrating polyalgorithm library with optimized linear algebra libraries on HPC platforms, leveragi...
MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable i...
A framework for high-performance matrix multiplication based on hierarchical abstractions, algorithm...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
As users and developers, we are witnessing the opening of a new computing scenario: the introduction...
In this project I optimized the Dense Matrix-Matrix multiplication calculation by tiling the matrice...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
Masters Research - Master of Philosophy (MPhil)Matrix-vector multiplication is widely used in scienc...
10.1145/2503210.2503234International Conference for High Performance Computing, Networking, Storage ...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
This paper describes a novel parallel algorithm that implements a dense matrix multiplication operat...
UnrestrictedRecently, high-end computing systems have been introduced that employ reconfigurable har...
Abstract. This paper presents a study of performance optimization of dense matrix multiplication on ...
Integrating polyalgorithm library with optimized linear algebra libraries on HPC platforms, leveragi...