This contribution reviews the main results of the HtComp project, a two-year research programme aiming at facilitating the integration of FPGA-based accelerators into general-purpose computing. The project covered the automated generation of HDL code from parallel applications written in traditional high-level software languages, as well as the customization of the processing, memory, and on-chip interconnect subsystems tailored on the application requirements. The ultimate outcome of the research was the introduction of methods and tools allowing software developers, particularly from the HPC domain, to access hardware-accelerated platforms incurring significantly reduced design complexity and overheads
Abstract—We describe the support within high-level hard-ware synthesis (HLS) for two standard softwa...
The demand for scalable, high-performance computing has increased as the size of datasets has grown ...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
The rate of increase in computing performance has been slowing due to the end of processor frequency...
As more and more powerful integrated circuits are appearing on the market, more and more application...
This dissertation focuses on efficient generation of custom processors from high-level language desc...
High-level synthesis (HLS) can automatically synthesize software to hardware. With the design specif...
As the scaling down of transistor size no longer provides boost to processor clock frequency, there ...
International audienceDesigning FPGA-based accelerators is a difficult and time-consuming task which...
Field Programmable Gate Array (FPGA) provides the ability to use, and re-use, hardware with minimal ...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
The role of heterogeneous multi-core architectures in the industrial and scientific computing commun...
This dissertation describes research activities broadly concerning the area of High-level synthesis ...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
Field Programmable Gate Arrays (FPGA) have become vital in high-performance Digital Signal Processin...
Abstract—We describe the support within high-level hard-ware synthesis (HLS) for two standard softwa...
The demand for scalable, high-performance computing has increased as the size of datasets has grown ...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
The rate of increase in computing performance has been slowing due to the end of processor frequency...
As more and more powerful integrated circuits are appearing on the market, more and more application...
This dissertation focuses on efficient generation of custom processors from high-level language desc...
High-level synthesis (HLS) can automatically synthesize software to hardware. With the design specif...
As the scaling down of transistor size no longer provides boost to processor clock frequency, there ...
International audienceDesigning FPGA-based accelerators is a difficult and time-consuming task which...
Field Programmable Gate Array (FPGA) provides the ability to use, and re-use, hardware with minimal ...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
The role of heterogeneous multi-core architectures in the industrial and scientific computing commun...
This dissertation describes research activities broadly concerning the area of High-level synthesis ...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
Field Programmable Gate Arrays (FPGA) have become vital in high-performance Digital Signal Processin...
Abstract—We describe the support within high-level hard-ware synthesis (HLS) for two standard softwa...
The demand for scalable, high-performance computing has increased as the size of datasets has grown ...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...