Part 2: AlgorithmsInternational audienceThis paper describes the acceleration of the most computationally intensive kernels of the Blender rendering engine, Blender Cycles, using Intel Many Integrated Core architecture (MIC). The proposed parallelization, which uses OpenMP technology, also improves the performance of the rendering engine when running on multi-core CPUs and multi-socket servers. Although the GPU acceleration is already implemented in Cycles, its functionality is limited. Our proposed implementation for MIC architecture contains all features of the engine with improved performance. The paper presents performance evaluation for three architectures: multi-socket server, server with MIC (Intel Xeon Phi 5100p) accelerator and ser...
International audienceHardware accelerators are classic scientific coprocessors in HPC machines. How...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
With Moore's Law alive and well, more and more parallelism is introduced into all computing pl...
Part 2: AlgorithmsInternational audienceThis paper describes the acceleration of the most computatio...
This paper studies the performance and energy consumption of several multi-core, multi-CPUs and many...
In order to reach exascale computing capability, accelerators have become a crucial part in developi...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
Computer vision algorithms, such as scale-invariant feature transform (SIFT), are used in many impor...
The speed of software algorithms can be greatly improved by using a co-processor to offload computat...
The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architect...
OpenCL (Open Computing Language) is a heterogeneous programming framework for developing application...
The computational effort of 3D image reconstruction in Computed Tomography (CT) has required special...
Over the past few years, energy consumption has become the main limiting factor for computing in gen...
—Emerging massively parallel architectures such as a general-purpose processor plus many-core progra...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
International audienceHardware accelerators are classic scientific coprocessors in HPC machines. How...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
With Moore's Law alive and well, more and more parallelism is introduced into all computing pl...
Part 2: AlgorithmsInternational audienceThis paper describes the acceleration of the most computatio...
This paper studies the performance and energy consumption of several multi-core, multi-CPUs and many...
In order to reach exascale computing capability, accelerators have become a crucial part in developi...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
Computer vision algorithms, such as scale-invariant feature transform (SIFT), are used in many impor...
The speed of software algorithms can be greatly improved by using a co-processor to offload computat...
The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architect...
OpenCL (Open Computing Language) is a heterogeneous programming framework for developing application...
The computational effort of 3D image reconstruction in Computed Tomography (CT) has required special...
Over the past few years, energy consumption has become the main limiting factor for computing in gen...
—Emerging massively parallel architectures such as a general-purpose processor plus many-core progra...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
International audienceHardware accelerators are classic scientific coprocessors in HPC machines. How...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
With Moore's Law alive and well, more and more parallelism is introduced into all computing pl...