Add to ORKGThis is the author’s version of invited paper: Usman Dastgeer, Christoph Kessler. A step towards performance-aware global component composition for GPU-based systems. Proc. 17th Int. Workshop on Compilers for Paralle
Mobile processors continue to increase in performance while becoming more power efficient, providing...
Traditional embedded systems are evolving into heterogeneous systems in order to address new and mor...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
This thesis addresses issues associated with efficiently programming modern heterogeneous GPU-based ...
Abstract—User-level components of applications can be made performance-aware by annotating them with...
One pressing challenge of many modern embedded systems is to successfully deal with the considerable...
General purpose computing on graphics processing units, known as GPGPU but now often referred to as ...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The diversity of microarchitecture designs in heterogeneous computing systems allows programs to ach...
In the recent years, the graphics processing unit (GPU) has emerged as a popular platform for perfor...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
Invited PanelistInvited Panelist to the 2011 International Conference on High Performance Computing ...
We look at multiple GPU programming, using the connected components algorithm as the basis when we l...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
Mobile processors continue to increase in performance while becoming more power efficient, providing...
Traditional embedded systems are evolving into heterogeneous systems in order to address new and mor...
Developing high performance GPGPU programs is challenging for application developers since the perfo...
This thesis addresses issues associated with efficiently programming modern heterogeneous GPU-based ...
Abstract—User-level components of applications can be made performance-aware by annotating them with...
One pressing challenge of many modern embedded systems is to successfully deal with the considerable...
General purpose computing on graphics processing units, known as GPGPU but now often referred to as ...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The diversity of microarchitecture designs in heterogeneous computing systems allows programs to ach...
In the recent years, the graphics processing unit (GPU) has emerged as a popular platform for perfor...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
Invited PanelistInvited Panelist to the 2011 International Conference on High Performance Computing ...
We look at multiple GPU programming, using the connected components algorithm as the basis when we l...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
Mobile processors continue to increase in performance while becoming more power efficient, providing...
Traditional embedded systems are evolving into heterogeneous systems in order to address new and mor...
Developing high performance GPGPU programs is challenging for application developers since the perfo...