Proceedings of the 2nd ACM SIGPLAN workshop on Functional high-performance computing

Abstract

It is our great pleasure to welcome you to the 2nd ACM SIGPLAN Workshop on Functional High-Performance Computing. FHPC 2013 brings together researchers who explore declarative highlevel programming technology in application domains where large-scale computations arise naturally and high performance is essential. The workshop is in its second year. Our goal is to establish FHPC as a regular annual forum for researchers interested in applying functional programming techniques in the area of high-performance computing. Functional programming is increasingly recognized as presenting a nice sweet spot between expressiveness and efficiency for parallel programming, reconciling execution performance with programming productivity. Making FHPC'13 happen depended on a number of people and organizations, which we would like to acknowledge here. We thank the authors and panelists for providing the content of the program. We would like to express our gratitude to the program committee and the additional reviewers, who worked very hard in reviewing papers and providing suggestions for their improvements. Special thanks go to ACM SIGPLAN and the ICFP workshop chairs for accepting our workshop nomination and being flexible with organizational matters. The call for papers attracted 14 submissions from Asia, the Americas, and Europe. An international program committee selected 8 contributions for publication. These papers cover a variety of topics. Some touch upon optimizing compilation techniques and programming techniques for GPU applications. Others propose novel parallel programming models, libraries, and bespoke runtime management, which take advantage of declarative constructs for better performance and productivity. In addition to the refereed contributions, FHPC'13 features two invited talks. Matthew Fluet from Rochester Institute of Technology will provide an overview of the Manticore project, with focus on programming models and runtime techniques. Manuel Chakravarty from the University of New South Wales will present different strands of work in data-parallel computing, discussing results and issues in Data-Parallel Haskell and Accelerate. The topic of data-parallelism and GPU computing will be further deepened in a panel discussion. We hope to have put together an interesting program, looking forward to stimulating discussions during the second FHPC workshop, and a successful follow-up FHPC workshop at ICFP 2014.