Abbrevation
H2RC
City
Salt Lake CityUT
Country
United States
Deadline Paper
Start Date
End Date
Abstract

As conventional von&#8211;Neumann architectures are suffering from rising power densities, we are facing an<br>era with power, energy efficiency, and cooling as first&#8211;class constraints for scalable HPC&#046; FPGAs can tailor<br>the hardware to the application, avoiding overheads and achieving higher hardware efficiency than<br>general&#8211;purpose architectures&#046; Leading FPGA manufacturers have recently made a concerted effort to<br>provide a range of higher&#8211;level, easier to use high&#8211;level programming models for FPGAs&#046;<br>Such initiatives are already stimulating new interest within the HPC community around the potential<br>advantages of FPGAs over other architectures&#046; With this in mind, this workshop, now its second year,<br>brings together HPC and heterogeneous&#8211;computing researchers to demonstrate and share experiences on<br>how newly&#8211;available high&#8211;level programming models, including OpenCL, are already empowering HPC<br>software developers to directly leverage FPGAs, and to identify future opportunities and needs for research<br>in this area&#046;<br>Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous highperformance<br>compute architectures and, at a system level, in data centers and supercomputers&#046; FPGAs<br>may be considered from either or both the distributed, parallel and composable fabric of compute elements<br>or from their dynamic reconfigurability&#046; We particularly encourage submissions which focus on the<br>mapping of algorithms and applications to heterogeneous FPGA&#8211;based systems as well as the overall<br>impact of such architectures on the compute capacity, cost, power efficiency, and overall computational<br>capabilities of data centers and supercomputers&#046; Submissions may report on theoretical or applied<br>research, implementation case studies, benchmarks, standards, or any other area that promises to make a<br>significant contribution to our understanding of heterogeneous high&#8211;performance reconfigurable<br>computing and will help to shape future research and implementations in this domain&#046; A noncomprehensive<br>list of potential topics of interest is given below:<br>1&#046; FPGAs in the Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data<br>Center/Supercomputing posed by the end of Dennard scaling<br>2&#046; Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical<br>cloud/HPC applications<br>3&#046; Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in<br>cloud/HPC applications<br>4&#046; Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with<br>heterogeneous architectures using FPGAs<br>5&#046; Implementation Studies: Heterogenous Hardware and Management Infrastructure<br>6&#046; Programming Languages/Tools/Frameworks for Heterogeneous High Performance Reconfigurable<br>Computing<br>7&#046; Future&#8211;gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance<br>Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous<br>High Performance Reconfigurable Computing<br>8&#046; Community building: Standards, consortium activity, open source, education, initiatives to enable<br>and grow Heterogeneous High Performance Reconfigurable Computing<br>