We are presenting THeGASNet, a framework to provide remote memory communication and synchronization in heterogeneous, distributed systems composed of software components and FPGA components. It is intended as a runtime layer to support higher-level languages and libraries that implement the Partitioned Global Address Space(PGAS) model. PGAS is a shared memory parallel programming model intended for high-productivity programming of distributed, cluster-like systems. THeGASNet provides a communication abstraction with a common API for both software and hardware components, thereby facilitating easier migration of performance-critical application portions to reconfigurable computing hardware. To demonstrate the development flow, we have implem...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
Technology trends suggest that future machines will relyon parallelism to meet increasing performanc...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
This work presents a heterogeneous communication library for generic clusters of processors and FPGA...
ABSTRACT We are proposing a shared-memory communication infrastructure that provides a common parall...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
This work presents a dynamic development flow to integrate FPGA accelerators into software applicati...
This work presents a dynamic development flow to integrate FPGA accelerators into software applicati...
Partitioned Global Address Space (PGAS) languages offer programmers the convenience of a shared memo...
The era of big data has led to problems of unprecedented scale and complexity that are challenging t...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to impro...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
In order to exploit the increasing number of transistors, and due to the limitations of frequency sc...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
Technology trends suggest that future machines will relyon parallelism to meet increasing performanc...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
This work presents a heterogeneous communication library for generic clusters of processors and FPGA...
ABSTRACT We are proposing a shared-memory communication infrastructure that provides a common parall...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
This work presents a dynamic development flow to integrate FPGA accelerators into software applicati...
This work presents a dynamic development flow to integrate FPGA accelerators into software applicati...
Partitioned Global Address Space (PGAS) languages offer programmers the convenience of a shared memo...
The era of big data has led to problems of unprecedented scale and complexity that are challenging t...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to impro...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
In order to exploit the increasing number of transistors, and due to the limitations of frequency sc...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
Technology trends suggest that future machines will relyon parallelism to meet increasing performanc...