Designing special-purpose processors and ASICs to execute computer programs requires a methodology that varies greatly from traditional general purpose software programming. The benefits of specialized processor designs and ASICs are : lower power consumption, and greater efficiency, as opposed to general purpose processors. Those benefits are the driven motivation in the Arsenal design that aims to incorporate 10s to 1000s of specialized processing elements (SPEs) into one system. Each one of the SPEs performs a well defined functionality that represents the variety of hardware designs, from general purpose processors to special-purpose processors and ASICs. Among those specialized hardware units, the Floating Point hardware infrastructure...
International audienceNext generation FPGA circuits will allow the integration of dozens of hard and...
ii Soft-core embedded systems implemented on FPGAs offer a high level of flexibility. Application sp...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...
Designing special-purpose processors and ASICs to execute computer programs requires a methodology t...
In today’s world, people are widely using technology to make their lives more comfortable and better...
Effective exploitation of the application-specific parallel patterns and computation operations thro...
Currently, the most powerful supercomputers can provide tens of petaflops. Future many-core systems ...
Soft-core embedded systems implemented on FPGAs offer a high level of flexibility. Application speci...
Abstract—Energy-efficient computation is critical if we are going to continue to scale performance i...
In single processor architectures, computationally-intensive functions are typically accelerated usi...
Abstract—Several studies and real world designs have advocated the sharing of large execution units ...
The use of floating-point hardware in FPGAs has long been considered infeasible or related to use in...
none3siIn this work we propose a shared floating point unit (FPU) architecture for ultra low power (...
The processors are better suited to the diverse applications in daily life ranging from small toys t...
We explore the design space of Field Programmable Gate Arrays (FPGAs), Processors and ASICs -- Hardw...
International audienceNext generation FPGA circuits will allow the integration of dozens of hard and...
ii Soft-core embedded systems implemented on FPGAs offer a high level of flexibility. Application sp...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...
Designing special-purpose processors and ASICs to execute computer programs requires a methodology t...
In today’s world, people are widely using technology to make their lives more comfortable and better...
Effective exploitation of the application-specific parallel patterns and computation operations thro...
Currently, the most powerful supercomputers can provide tens of petaflops. Future many-core systems ...
Soft-core embedded systems implemented on FPGAs offer a high level of flexibility. Application speci...
Abstract—Energy-efficient computation is critical if we are going to continue to scale performance i...
In single processor architectures, computationally-intensive functions are typically accelerated usi...
Abstract—Several studies and real world designs have advocated the sharing of large execution units ...
The use of floating-point hardware in FPGAs has long been considered infeasible or related to use in...
none3siIn this work we propose a shared floating point unit (FPU) architecture for ultra low power (...
The processors are better suited to the diverse applications in daily life ranging from small toys t...
We explore the design space of Field Programmable Gate Arrays (FPGAs), Processors and ASICs -- Hardw...
International audienceNext generation FPGA circuits will allow the integration of dozens of hard and...
ii Soft-core embedded systems implemented on FPGAs offer a high level of flexibility. Application sp...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...