Over the years reconfigurable computing devices such as FPGAs have evolved from gate-level glue logic to complex reprogrammable processing architectures. However, the tools used for mapping computations to such architectures still require the knowledge about architectural details of the target device to extract efficiency. A study of the Mobius language and tools is presented in this paper, with a focus on generated hardware performance. A number of streaming and memory-intensive applications have been developed and the results have been compared with the corresponding implementations in VHDL and a behavioral hardware description language. Based upon experimental evidences, it is concluded that Mobius, a minimal parallel processing language...
With the growing importance of energy efficiency, heterogeneous computing has become more popular in...
ABSTRACT: Nowadays application specific soft processor cores are gaining importance for FPGA based e...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
Over the years reconfigurable computing devices such as FPGAs have evolved from gate-level glue logi...
Previous research has shown that the performance of any computation is directly related to the archi...
Field Programmable Gate Array (FPGA) provides the ability to use, and re-use, hardware with minimal ...
After more than 30 years, reconfigurable computing has grown from a concept to a mature field of scien...
Pattern matching in bio-informatics is a discipline in sturdy growth, and has a great need for searc...
Thesis (Ph.D.)--University of Washington, 2022Modern field-programmable gate arrays (FPGAs) have rec...
International audienceMany reconfigurable hardware architectures have been proposed so far, ranging ...
Abstract—The proprietary nature of FPGA platforms has been a hin-drance to developer and user produc...
Field Programmable Gate Arrays (FPGAs) are programmable logic devices used for the implementation of...
This thesis concentrated on the runtime reconfiguration of system-on-chip (SoC) cores to execute spe...
Computation-intensive algorithms require a high level of parallelism and programmability, which mak...
Field-programmable gate arrays represent an army of logical units which can be organized in a highly...
With the growing importance of energy efficiency, heterogeneous computing has become more popular in...
ABSTRACT: Nowadays application specific soft processor cores are gaining importance for FPGA based e...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
Over the years reconfigurable computing devices such as FPGAs have evolved from gate-level glue logi...
Previous research has shown that the performance of any computation is directly related to the archi...
Field Programmable Gate Array (FPGA) provides the ability to use, and re-use, hardware with minimal ...
After more than 30 years, reconfigurable computing has grown from a concept to a mature field of scien...
Pattern matching in bio-informatics is a discipline in sturdy growth, and has a great need for searc...
Thesis (Ph.D.)--University of Washington, 2022Modern field-programmable gate arrays (FPGAs) have rec...
International audienceMany reconfigurable hardware architectures have been proposed so far, ranging ...
Abstract—The proprietary nature of FPGA platforms has been a hin-drance to developer and user produc...
Field Programmable Gate Arrays (FPGAs) are programmable logic devices used for the implementation of...
This thesis concentrated on the runtime reconfiguration of system-on-chip (SoC) cores to execute spe...
Computation-intensive algorithms require a high level of parallelism and programmability, which mak...
Field-programmable gate arrays represent an army of logical units which can be organized in a highly...
With the growing importance of energy efficiency, heterogeneous computing has become more popular in...
ABSTRACT: Nowadays application specific soft processor cores are gaining importance for FPGA based e...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...