Optimization principles and application performance evaluation of a multithreaded GPU using CUDA
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
PEAK—a fast and effective performance tuning system via compiler optimization orchestration
ACM Transactions on Programming Languages and Systems (TOPLAS)
Program optimization space pruning for a multithreaded gpu
Proceedings of the 6th annual IEEE/ACM international symposium on Code generation and optimization
A compiler framework for optimization of affine loop nests for gpgpus
Proceedings of the 22nd annual international conference on Supercomputing
Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Benchmarking GPUs to tune dense linear algebra
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
CUDA-Lite: Reducing GPU Programming Complexity
Languages and Compilers for Parallel Computing
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
hiCUDA: a high-level directive-based language for GPU programming
Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units
A cross-input adaptive framework for GPU program optimizations
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Auto-tuning 3-D FFT library for CUDA GPUs
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
The university of Florida sparse matrix collection
ACM Transactions on Mathematical Software (TOMS)
Automatic C-to-CUDA code generation for affine programs
CC'10/ETAPS'10 Proceedings of the 19th joint European conference on Theory and Practice of Software, international conference on Compiler Construction
Proceedings of the international conference on Supercomputing
Mint: realizing CUDA performance in 3D stencil methods with annotated C
Proceedings of the international conference on Supercomputing
Automating GPU computing in MATLAB
Proceedings of the international conference on Supercomputing
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
Proceedings of the 20th international symposium on High performance distributed computing
IWOMP'11 Proceedings of the 7th international conference on OpenMP in the Petascale era
Performance analysis and tuning of automatically parallelized OpenMP applications
IWOMP'11 Proceedings of the 7th international conference on OpenMP in the Petascale era
GROPHECY: GPU performance projection from CPU code skeletons
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Introducing 'Bones': a parallelizing source-to-source compiler based on algorithmic skeletons
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
A distributed data-parallel framework for analysis and visualization algorithm development
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
Proceedings of the 9th conference on Computing Frontiers
Parameterized micro-benchmarking: an auto-tuning approach for complex applications
Proceedings of the 9th conference on Computing Frontiers
An extension of XcalableMP PGAS lanaguage for multi-node GPU clusters
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
A virtual memory based runtime to support multi-tenancy in clusters with GPUs
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
A systematic process for efficient execution on Intel's heterogeneous computation nodes
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
Effects of compiler optimizations in OpenMP to CUDA translation
IWOMP'12 Proceedings of the 8th international conference on OpenMP in a Heterogeneous World
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Early evaluation of directive-based GPU programming models for productive exascale computing
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Automatic generation of software pipelines for heterogeneous parallel systems
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
ValuePack: value-based scheduling framework for CPU-GPU clusters
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Dataflow-driven GPU performance projection for multi-kernel transformations
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Polyhedral parallel code generation for CUDA
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
OpenACC: first experiences with real-world applications
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
OpenMPC: extended OpenMP for efficient programming and tuning on GPUs
International Journal of Computational Science and Engineering
Iterative statistical kernels on contemporary GPUs
International Journal of Computational Science and Engineering
libEOMP: a portable OpenMP runtime library based on MCA APIs for embedded systems
Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores
Input-aware auto-tuning for directive-based GPU programming
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
Scaling large-data computations on multi-GPU accelerators
Proceedings of the 27th international ACM conference on International conference on supercomputing
Portable mapping of openMP to multicore embedded systems using MCA APIs
Proceedings of the 14th ACM SIGPLAN/SIGBED conference on Languages, compilers and tools for embedded systems
General transformations for GPU execution of tree traversals
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Semi-automatic restructuring of offloadable tasks for many-core accelerators
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Scheduling concurrent applications on a cluster of CPU-GPU nodes
Future Generation Computer Systems
Exploiting heterogeneous parallelism with the Heterogeneous Programming Library
Journal of Parallel and Distributed Computing
Towards making autotuning mainstream
International Journal of High Performance Computing Applications
Automatic data allocation and buffer management for multi-GPU machines
ACM Transactions on Architecture and Code Optimization (TACO)
Efficient Mapping of Irregular C++ Applications to Integrated GPUs
Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization
APR: A Novel Parallel Repacking Algorithm for Efficient GPGPU Parallel Code Transformation
Proceedings of Workshop on General Purpose Processing Using GPUs
A compound OpenMP/MPI program development toolkit for hybrid CPU/GPU clusters
The Journal of Supercomputing
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General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high performance computing. The CUDA (Compute Unified Device Architecture) programming model provides improved programmability for general computing on GPGPUs. However, its unique execution model and memory model still pose significant challenges for developers of efficient GPGPU code. This paper proposes a new programming interface, called OpenMPC, which builds on OpenMP to provide an abstraction of the complex CUDA programming model and offers high-level controls of the involved parameters and optimizations. We have developed a fully automatic compilation and user-assisted tuning system supporting OpenMPC. In addition to a range of compiler transformations and optimizations, the system includes tuning capabilities for generating, pruning, and navigating the search space of compilation variants. Our results demonstrate that OpenMPC offers both programmability and tunability. Our system achieves 88% of the performance of the hand-coded CUDA programs.