NDLI: Parallel programming in Haskell almost for free: an embedding of intel's array building blocks

Please wait, while we are loading the content...

Using domain-specific languages and access-execute descriptors to expand the parallel code synthesis design space: keynote talk

Avalanche: a fine-grained flow graph model for irregular applications on distributed-memory systems

Haskell vs. f# vs. scala: a high-level language features and parallelism support comparison

Parallel discrete event simulation with Erlang

Parallel programming in Haskell almost for free: an embedding of intel's array building blocks

Harnessing parallelism in FPGAs using the hume language

Financial software on GPUs: between Haskell and Fortran

An embedded DSL for stochastic processes: research article

Usage of petri nets for high performance computing

Seeing the futures: profiling shared-memory parallel racket

Parallel programming in Haskell almost for free: an embedding of intel's array building blocks

Content Provider	ACM Digital Library
Author	Sheeran, Mary Svensson, Bo Joel
Abstract	Nowadays, performance in processors is increased by adding more cores or wider vector units, or by combining accelerators like GPUs and traditional cores on a chip. Programming for these diverse architectures is a challenge. We would like to exploit all the resources at hand without putting too much burden on the programmer. Ideally, the programmer should be presented with a machine model abstracted from the specific number of cores, SIMD width or the existence of a GPU or not. Intel's Array Building Blocks (ArBB) is a system that takes on these challenges. ArBB is a language for data parallel and nested data parallel programming, embedded in C++. By offering a retargetable dynamic compilation framework, it provides vectorisation and threading to programmers without the need to write highly architecture specific code. We aim to bring the same benefits to the Haskell programmer by implementing a Haskell frontend (embedding) of the ArBB system. We call this embedding EmbArBB. We use standard Haskell embedded language procedures to provide an interface to the ArBB functionality in Haskell. EmbArBB is work in progress and does not currently support all of the ArBB functionality. Some small programming examples illustrate how the Haskell embedding is used to write programs. ArBB code is short and to the point in both C++ and Haskell. Matrix multiplication has been benchmarked in sequential C++, ArBB in C++, EmbArBB and the Repa library. The C++ and the Haskell embeddings have almost identical performance, showing that the Haskell embedding does not impose any large extra overheads. Two image processing algorithms have also been benchmarked against Repa. In these benchmarks at least, EmbArBB performance is much better than that of the Repa library, indicating that building on ArBB may be a cheap and easy approach to exploiting data parallelism in Haskell.
Starting Page	3
Ending Page	14
Page Count	12
File Format	PDF
ISBN	9781450315777
DOI	10.1145/2364474.2364477
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data parallelism Dynamic compilation Array programming Embedded language
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in