Prius is a framework for seamless execution of OpenCL pro-grams across integrated, heterogeneous systems. Applica-tions interfacing with Prius need not be aware of the char-acteristics of the hardware; instead the framework will au-tomatically map kernel executions to suitable processors at run-time. The modular nature of the framework allows easy evaluation of new mapping strategies. 1
In modern mobile embedded systems, various energy-efficient hardware acceleration units are employed...
The constant race for faster and more powerful CPUs is drawing to a close. No longer is it feasible ...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
Current processors provide a variety of different processing units to improve performance and power ...
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framew...
The rising pressure to simultaneously improve performance and reduce power consumption is driving mo...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
The potential for GPUs to attain high speedup over traditional multicore systems has made them a pop...
massive parallel processor, has been widely used in general purposed computing tasks. Although there...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL is a standard for parallel programming of heterogeneous systems. The benefits of a common pro...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
FlexRTS is a dynamically configurable and extensible run-time system for Orca, a high performance pa...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
In modern mobile embedded systems, various energy-efficient hardware acceleration units are employed...
The constant race for faster and more powerful CPUs is drawing to a close. No longer is it feasible ...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
Current processors provide a variety of different processing units to improve performance and power ...
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framew...
The rising pressure to simultaneously improve performance and reduce power consumption is driving mo...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
The potential for GPUs to attain high speedup over traditional multicore systems has made them a pop...
massive parallel processor, has been widely used in general purposed computing tasks. Although there...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL is a standard for parallel programming of heterogeneous systems. The benefits of a common pro...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
FlexRTS is a dynamically configurable and extensible run-time system for Orca, a high performance pa...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
In modern mobile embedded systems, various energy-efficient hardware acceleration units are employed...
The constant race for faster and more powerful CPUs is drawing to a close. No longer is it feasible ...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...