The overall goal of this thesis is to evaluate the feasibility of FPGA based computer system in HPC. This works is performed within ExaNeSt, an EU funded project which aims to develop and prototype energy effcient solutions for the production of exascale-level supercomputers. As the matter of fact, the current computer architectures need to be re-thought in order to reach the exascale performance. Scale current technologies will make the power consumption so large, that to run and maintain such systems will be technologically and economically too much demanding. Let's take for example the system TSUBAME3.0, the #1 in the Green500 list of June 2017, which has an energy effciency of 14.11 GFLOPS/Watt. If we assume to be able to scal...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
FPGAs have shown great promise for accelerating computationally intensive algorithms. However, FPGA-...
The overall goal of this thesis is to evaluate the feasibility of FPGA based computer system in HPC...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
As more and more powerful integrated circuits are appearing on the market, more and more application...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
This dissertation describes research activities broadly concerning the area of High-level synthesis ...
This document presents an evaluation of OpenCL as a mechanism to exploit FPGA resources. To evaluate...
In this work we describe a method to measure the computing performance and energy-efficiency to be e...
Exascale computation is the next target of high performance computing. In the push to create exascal...
The thesis evaluates the current state-of-the-art of RISC architectures in HPC. Studying the perform...
This book is concerned with the emerging field of High Performance Reconfigurable Computing (HPRC), ...
The landscape of High Performance Computing (HPC) system architectures keeps expanding with new tech...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
FPGAs have shown great promise for accelerating computationally intensive algorithms. However, FPGA-...
The overall goal of this thesis is to evaluate the feasibility of FPGA based computer system in HPC...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
As more and more powerful integrated circuits are appearing on the market, more and more application...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
This dissertation describes research activities broadly concerning the area of High-level synthesis ...
This document presents an evaluation of OpenCL as a mechanism to exploit FPGA resources. To evaluate...
In this work we describe a method to measure the computing performance and energy-efficiency to be e...
Exascale computation is the next target of high performance computing. In the push to create exascal...
The thesis evaluates the current state-of-the-art of RISC architectures in HPC. Studying the perform...
This book is concerned with the emerging field of High Performance Reconfigurable Computing (HPRC), ...
The landscape of High Performance Computing (HPC) system architectures keeps expanding with new tech...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
Cavazos, JohnAs the high-performance computing (HPC) community continues the push towards exascale ...
FPGAs have shown great promise for accelerating computationally intensive algorithms. However, FPGA-...