GPUs have become popular due to their high computational power. Data scientists rely on GPUs to process loads of data being generated by their systems. From a humble beginning as a graphics accelerator for arcade games, they have become essential compute units in many important applications. The programming infrastructure for GPU programs is still rudimentary and the GPU programmer needs to understand the intricacies of GPU architecture, tune various execution parameters and optimize parts of the program using low-level primitives. GPU compilers are still far from the automation provided by CPU compilers where the programmer is often oblivious of the details of the underlying architecture. In this work, we present light-weight formal approa...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
GPGPU (general purpose computing on graphics processing units) programming is one interesting way to...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPUs have become popular due to their high computational power. Data scientists rely on GPUs to proc...
GPUs have become popular due to their high computational power. Data scientists rely on GPUs to proc...
Graphics processing units (GPUs) have become ubiquitous for general purpose applications due to thei...
In the last three years, GPUs are more and more being used for general purpose applications instead ...
Graphics Processing Units (GPUs) are becoming more and more prevalent in general-purpose computing. ...
Abstract—In the last three years, GPUs are more and more being used for general purpose applications...
The massive parallel architecture enables graphics processing units (GPUs) to boost performance for ...
The massive parallel architecture enables graphics process-ing units (GPUs) to boost performance for...
This paper presents a novel optimizing compiler for general purpose computation on graphics processi...
This paper presents a novel optimizing compiler for general purpose computation on graphics processi...
General purpose GPU (GPGPU) is an effective many-core architecture that can yield high throughput fo...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
GPGPU (general purpose computing on graphics processing units) programming is one interesting way to...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPUs have become popular due to their high computational power. Data scientists rely on GPUs to proc...
GPUs have become popular due to their high computational power. Data scientists rely on GPUs to proc...
Graphics processing units (GPUs) have become ubiquitous for general purpose applications due to thei...
In the last three years, GPUs are more and more being used for general purpose applications instead ...
Graphics Processing Units (GPUs) are becoming more and more prevalent in general-purpose computing. ...
Abstract—In the last three years, GPUs are more and more being used for general purpose applications...
The massive parallel architecture enables graphics processing units (GPUs) to boost performance for ...
The massive parallel architecture enables graphics process-ing units (GPUs) to boost performance for...
This paper presents a novel optimizing compiler for general purpose computation on graphics processi...
This paper presents a novel optimizing compiler for general purpose computation on graphics processi...
General purpose GPU (GPGPU) is an effective many-core architecture that can yield high throughput fo...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
GPGPU (general purpose computing on graphics processing units) programming is one interesting way to...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...