NDLI: CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures

Content Provider	IEEE Xplore Digital Library
Author	Martinez, G. Gardner, M. Wu-chun Feng
Copyright Year	2011
Abstract	The use of graphics processing units (GPUs) in high-performance parallel computing continues to become more prevalent, often as part of a heterogeneous system. For years, CUDA has been the de facto programming environment for nearly all general-purpose GPU (GPGPU) applications. In spite of this, the framework is available only on NVIDIA GPUs, traditionally requiring reimplementation in other frameworks in order to utilize additional multi- or many-core devices. On the other hand, OpenCL provides an open and vendor-neutral programming environment and runtime system. With implementations available for CPUs, GPUs, and other types of accelerators, OpenCL therefore holds the promise of a "write once, run anywhere" ecosystem for heterogeneous computing. Given the many similarities between CUDA and OpenCL, manually porting a CUDA application to OpenCL is typically straightforward, albeit tedious and error-prone. In response to this issue, we created CU2CL, an automated CUDA-to-OpenCL source-to-source translator that possesses a novel design and clever reuse of the Clang compiler framework. Currently, the CU2CL translator covers the primary constructs found in CUDA runtime API, and we have successfully translated many applications from the CUDA SDK and Rodinia benchmark suite. The performance of the automatically translated applications via CU2CL is on par with their manually ported counterparts.
Starting Page	300
Ending Page	307
File Size	597644
Page Count	8
File Format	PDF
ISBN	9781457718755
ISSN	15219097
e-ISBN	9780769545769
DOI	10.1109/ICPADS.2011.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing unit Kernel Libraries Runtime Instruction sets Programming Memory management abstract syntax tree source-to-source translation CUDA OpenCL Clang compiler
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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

CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-core Architectures

Cu2cl: a cuda-to-opencl translator for multi- and many-core architectures (2011).

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Source-to-Source Code Translator: OpenMP C to CUDA

A Runtime Framework for GPGPU

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

CUDACL: A tool for CUDA and OpenCL programmers

Open ACC Programs Examined: A Performance Analysis Approach

Phase-Based Profiling in GPGPU Kernels

CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures

Similar Documents

CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-core Architectures

Cu2cl: a cuda-to-opencl translator for multi- and many-core architectures (2011).

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Source-to-Source Code Translator: OpenMP C to CUDA

A Runtime Framework for GPGPU

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

CUDACL: A tool for CUDA and OpenCL programmers

Open ACC Programs Examined: A Performance Analysis Approach

Phase-Based Profiling in GPGPU Kernels

CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures