Seventh International Workshop on
Heterogeneous High-performance Reconfigurable Computing (H2RC'21)

Monday, November 15, 2021

Held in conjunction with:

SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis

In cooperation with:

The program committee will invite the authors of the best papers to extend their work to be considered for publication in a H2RC 2021 special issue of the Elsevier Journal for Parallel and Distributed Computing (JPDC).

Important Links:

Important Dates:

Workshop Description:

As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier-to-use high-level programming models for FPGAs, and much of the work in FPGA-based deep learning is built on these frameworks.

Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its seventh year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on how newly-available high-level programming models, including OpenCL, are already empowering HPC software developers to directly leverage FPGAs, and to identify future opportunities and needs for research in this area.