Publication date
September 2015
DOIAbstract
<p>Skype presentation for the Third EasyBuild Hackathon, invited talk, March 2013</p
<p>Skype presentation for the Third EasyBuild Hackathon, invited talk, March 2013</p
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
Overview CUDA is the standard API for code development targeting the GPU and a number of impressive...
Topics covered: Introduction to Shared Memory Architectures, Why use GPUs?, Introduction to CUDA C, ...
This Deliverable D7.4 namely “D7.4 Showcase workshop & Hackathon” presents the guidelines for the AR...
The focus of the training is to understand the basics of accelerator programming with the CUDA paral...
As the computer industry retools to leverage massively parallel graphics processing units (GPUs), th...
We present the results of a diploma thesis adding CUDA (runtime) C++ support to cling. Today's HPC s...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
fix building on systems with GPUs supporting multiple CUDA_ARCHITECTURES (#16) add SWIG example doc
Summarization: Using FPGAs as hardware accelerators that communicate with a central CPU is becoming ...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics processing units (GPUs) are being increasingly embraced by the high-performance computing c...
A presentation during the Coding da Vinci Ost³ 2022 Hackathon on how to use IIIF resources in web ap...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
Overview CUDA is the standard API for code development targeting the GPU and a number of impressive...
Topics covered: Introduction to Shared Memory Architectures, Why use GPUs?, Introduction to CUDA C, ...
This Deliverable D7.4 namely “D7.4 Showcase workshop & Hackathon” presents the guidelines for the AR...
The focus of the training is to understand the basics of accelerator programming with the CUDA paral...
As the computer industry retools to leverage massively parallel graphics processing units (GPUs), th...
We present the results of a diploma thesis adding CUDA (runtime) C++ support to cling. Today's HPC s...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
fix building on systems with GPUs supporting multiple CUDA_ARCHITECTURES (#16) add SWIG example doc
Summarization: Using FPGAs as hardware accelerators that communicate with a central CPU is becoming ...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics processing units (GPUs) are being increasingly embraced by the high-performance computing c...
A presentation during the Coding da Vinci Ost³ 2022 Hackathon on how to use IIIF resources in web ap...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
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