Intel Xeon Phi is a coprocessor with sixty-one cores in a single chip. The chip has a more powerful FPU that contains 512-bit SIMD registers. Intel Xeon Phi chip can benefit from the algorithms that operate with the large vectors. In this work, sequential, multithreaded and distributed versions of SuperLU solvers are tested on the Intel Xeon Phi using offload programming model and they work well. There are several offload programming alternatives depending on where to place pragma directives. We find that the sequential SuperLU benefited up to 45% performance improvement from the offload programming depending on the sparse matrix type and the size of transferred and processed data. On the other hand, the partitioning method of SuperLU_DIST ...
James Reinders (Chief Evangelist of Intel® Software at Intel) and Jim Jeffers (Principal Engineer at...
Recently, the Intel Xeon Phi coprocessor has received increasing attention in high performance compu...
To investigate the behavior of biochemical systems, many runs of Gillespie’s Stochastic Simulation A...
In the paper we provide a comparison of several runtimes which can be used for offloading computatio...
Abstract. Intel Xeon Phi is a recently released high-performance co-processor which features 61 core...
This work describes the challenges presented by porting parts of the Gysela code to the In...
In this whitepaper, we propose outer-product-parallel and inner-product-parallel sparse matrix-matri...
SuperLU_DIST is a distributed memory parallel solver for sparse linear systems. The solver makes sev...
International audienceThis work describes the challenges presented by porting parts of the gysela co...
In this paper, we propose a lightweight optimization methodology for the ubiquitous sparse matrix-ve...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
As Moore s law continues, processors keep getting more cores packed together on the chip. This thesi...
This thesis is dedicated to the implementation of high performance algorithms on the Intel Xeon Phi ...
The main topic of this thesis is the implementation and subsequent optimization of high performance ...
The emergence of new manycore architectures, such as the Intel Xeon Phi, poses new challenges in how...
James Reinders (Chief Evangelist of Intel® Software at Intel) and Jim Jeffers (Principal Engineer at...
Recently, the Intel Xeon Phi coprocessor has received increasing attention in high performance compu...
To investigate the behavior of biochemical systems, many runs of Gillespie’s Stochastic Simulation A...
In the paper we provide a comparison of several runtimes which can be used for offloading computatio...
Abstract. Intel Xeon Phi is a recently released high-performance co-processor which features 61 core...
This work describes the challenges presented by porting parts of the Gysela code to the In...
In this whitepaper, we propose outer-product-parallel and inner-product-parallel sparse matrix-matri...
SuperLU_DIST is a distributed memory parallel solver for sparse linear systems. The solver makes sev...
International audienceThis work describes the challenges presented by porting parts of the gysela co...
In this paper, we propose a lightweight optimization methodology for the ubiquitous sparse matrix-ve...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
As Moore s law continues, processors keep getting more cores packed together on the chip. This thesi...
This thesis is dedicated to the implementation of high performance algorithms on the Intel Xeon Phi ...
The main topic of this thesis is the implementation and subsequent optimization of high performance ...
The emergence of new manycore architectures, such as the Intel Xeon Phi, poses new challenges in how...
James Reinders (Chief Evangelist of Intel® Software at Intel) and Jim Jeffers (Principal Engineer at...
Recently, the Intel Xeon Phi coprocessor has received increasing attention in high performance compu...
To investigate the behavior of biochemical systems, many runs of Gillespie’s Stochastic Simulation A...