Add to ORKG1) What is GeMTC framework? Stands for “GPU Enabled Many Task Computing” 2) What does it do? Efficient middleware to enable MIMD architectures on GPUs
This paper describes GPUSync, which is a framework for managing graphics processing units (GPUs) in ...
The third phase of the GEM Centre’s strategic partnership between ACER and DFAT builds on Pathways t...
The profiling tool and visualiser of "Multi-GPU Communication Profiling: Filling a Gap
“GPU Computing “utilizes high level language to run sequential part of the code on the CPU as well a...
We present the design and first performance and usability evaluation of GeMTC, a novel execution mod...
© 2021 ACM.Recently, graphic processing unit (GPU) multitasking has become important in many platfor...
workloads to run on hardware accelerators allowing for ad-vantages that come from the many-core arch...
Despite the popularity of GPUs in high-performance and scientific computing, and despite increasingl...
Graphics processing units (GPUs) have become a very powerful platform embracing a concept of heterog...
The evolution from single core CPUs to heterogeneous computing. Activities in SINTEF ICT relate...
We introduce version 1.0 of the GemsTD benchmark suite and report the per-formance on several differ...
This talk introduces GPU Computing to the ESM community, targeting Jülich HPC resources
Micro-architectural support for improving synchronization and efficiency of SIMD execution on GPU
filtering. • These kernels have a large amount of data-level parallelism. • All these applications a...
A framework for client APIs Documentation Documentation is available on-line from the Projects Doc...
This paper describes GPUSync, which is a framework for managing graphics processing units (GPUs) in ...
The third phase of the GEM Centre’s strategic partnership between ACER and DFAT builds on Pathways t...
The profiling tool and visualiser of "Multi-GPU Communication Profiling: Filling a Gap
“GPU Computing “utilizes high level language to run sequential part of the code on the CPU as well a...
We present the design and first performance and usability evaluation of GeMTC, a novel execution mod...
© 2021 ACM.Recently, graphic processing unit (GPU) multitasking has become important in many platfor...
workloads to run on hardware accelerators allowing for ad-vantages that come from the many-core arch...
Despite the popularity of GPUs in high-performance and scientific computing, and despite increasingl...
Graphics processing units (GPUs) have become a very powerful platform embracing a concept of heterog...
The evolution from single core CPUs to heterogeneous computing. Activities in SINTEF ICT relate...
We introduce version 1.0 of the GemsTD benchmark suite and report the per-formance on several differ...
This talk introduces GPU Computing to the ESM community, targeting Jülich HPC resources
Micro-architectural support for improving synchronization and efficiency of SIMD execution on GPU
filtering. • These kernels have a large amount of data-level parallelism. • All these applications a...
A framework for client APIs Documentation Documentation is available on-line from the Projects Doc...
This paper describes GPUSync, which is a framework for managing graphics processing units (GPUs) in ...
The third phase of the GEM Centre’s strategic partnership between ACER and DFAT builds on Pathways t...
The profiling tool and visualiser of "Multi-GPU Communication Profiling: Filling a Gap