NDLI: Native offload of haskell repa programs to gpgpu.

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

Native offload of haskell repa programs to gpgpu.

Content Provider	CiteSeerX
Author	Liu, Hai Day, Laurence E. Glew, Neal Anderson, Todd A. Barik, Rajkishore
Abstract	In light of recent hardware advances, General Purpose Graph-ics Processing Units (GPGPUs) are becoming increasingly com-monplace, and demand novel programming models to account for their radically different architecture. For the most part, existing ap-proaches to programming GPGPUs within a high-level program-ming language choose to embed a domain specific language (DSL) within a host metalanguage and implement a compiler mapping programs written within said DSL to code in low-level languages such as OpenCL or CUDA. We question this design choice, and argue that by directly implementing a GPGPU offload primitive as part of a general-purpose language compiler, we gain access to a substantial number of existing optimization techniques with-out having to reimplement them in a DSL compiler. In this paper we describe the structure of our prototypical treatment of this re-search direction, demonstrating the applicability of our approach by showing how to bridge between APIs by extending the Repa library of Haskell with an offload primitive, and detailing an ex-perimental implementation of our approach within the Intel Labs Haskell Research Compiler. We also provide a detailed study of a set of nine benchmarks, by compiling them to both GPU and two distinct CPUs and comparing their performance.
File Format	PDF
Access Restriction	Open
Subject Keyword	Native Offload Haskell Repa Program Low-level Language Ex-perimental Implementation Design Choice Demand Novel Gpgpu Offload Primitive Optimization Technique General Purpose Graph-ics Processing Unit Compiler Mapping Program Intel Lab Haskell Research Compiler Distinct Cpu High-level Program-ming Language Choose Radically Different Architecture Detailed Study Substantial Number Repa Library Re-search Direction Offload Primitive Recent Hardware Advance Dsl Compiler Domain Specific Language General-purpose Language Compiler Prototypical Treatment Host Metalanguage
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