Not only in the field of High-Performance Computing (HPC), Field Programmable Gate Arrays (FPGAs) are a soaringly popular accelerator technology. However, they increase the heterogeneity of clusters, which might be equipped already today with accelerators, such as GPUs. This results in having to combine expertise from different fields, e. g., math-ematical, algorithmic and technical experts are needed to create numerical solvers for such systems. To bridge this programmability gap, Domain-Specific Languages (DSLs) are a popular choice to generate low-level implementations from an abstract algorithm description. In this work, we demonstrate the generation of implementations of numerical solvers based on the multigrid method for FPGAs from th...
This paper presents an approach to explore a commercial multi-FPGA system as high performance accele...
GPUs, with their high bandwidths and computational capabilities are an increasingly popular target f...
Abstract: FPGA-based acceleration of molecular dynam-ics (MD) has been the subject of several recen...
Not only in the field of High-Performance Computing (HPC), Field Programmable Gate Arrays (FPGAs) ar...
Many applications are increasingly requiring numerical simulations for solving complex problems. Mos...
AbstractThe problem of finding the solution of partial differential equations (PDEs) plays a central...
The problem of finding the solution of partial differential equations (PDEs) plays a central role in...
Many applications in scientific computing require solving one or more partial differential equations...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The dissemination of multi-core architectures and the later irruption of massively parallel devices,...
High Performance Computing (HPC) platforms allow scientists to model computationally intensive algor...
Numerical simulations can help solve complex problems. Most of these algorithms are massively parall...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
The design cycle for complex special-purpose computing systems is extremely costly and time-consumin...
Platform Multicore Processor, Complex Programmable Logic Devices (CPLDs) Application-Specific Integr...
This paper presents an approach to explore a commercial multi-FPGA system as high performance accele...
GPUs, with their high bandwidths and computational capabilities are an increasingly popular target f...
Abstract: FPGA-based acceleration of molecular dynam-ics (MD) has been the subject of several recen...
Not only in the field of High-Performance Computing (HPC), Field Programmable Gate Arrays (FPGAs) ar...
Many applications are increasingly requiring numerical simulations for solving complex problems. Mos...
AbstractThe problem of finding the solution of partial differential equations (PDEs) plays a central...
The problem of finding the solution of partial differential equations (PDEs) plays a central role in...
Many applications in scientific computing require solving one or more partial differential equations...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The dissemination of multi-core architectures and the later irruption of massively parallel devices,...
High Performance Computing (HPC) platforms allow scientists to model computationally intensive algor...
Numerical simulations can help solve complex problems. Most of these algorithms are massively parall...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
The design cycle for complex special-purpose computing systems is extremely costly and time-consumin...
Platform Multicore Processor, Complex Programmable Logic Devices (CPLDs) Application-Specific Integr...
This paper presents an approach to explore a commercial multi-FPGA system as high performance accele...
GPUs, with their high bandwidths and computational capabilities are an increasingly popular target f...
Abstract: FPGA-based acceleration of molecular dynam-ics (MD) has been the subject of several recen...