A fast algorithm for particle simulations
Journal of Computational Physics
Program optimization space pruning for a multithreaded gpu
Proceedings of the 6th annual IEEE/ACM international symposium on Code generation and optimization
Roofline: an insightful visual performance model for multicore architectures
Communications of the ACM - A Direct Path to Dependable Software
Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs
Proceedings of the 23rd international conference on Supercomputing
An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness
Proceedings of the 36th annual international symposium on Computer architecture
An adaptive performance modeling tool for GPU architectures
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Model-driven autotuning of sparse matrix-vector multiply on GPUs
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
A GPGPU compiler for memory optimization and parallelism management
PLDI '10 Proceedings of the 2010 ACM SIGPLAN conference on Programming language design and implementation
Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Combined Iterative and Model-driven Optimization in an Automatic Parallelization Framework
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Barra: A Parallel Functional Simulator for GPGPU
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Auto-tuning of fast fourier transform on graphics processors
Proceedings of the 16th ACM symposium on Principles and practice of parallel programming
A quantitative performance analysis model for GPU architectures
HPCA '11 Proceedings of the 2011 IEEE 17th International Symposium on High Performance Computer Architecture
CuMAPz: a tool to analyze memory access patterns in CUDA
Proceedings of the 48th Design Automation Conference
GROPHECY: GPU performance projection from CPU code skeletons
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Proceedings of the 9th conference on Computing Frontiers
Shared memory multiplexing: a novel way to improve GPGPU throughput
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Dataflow-driven GPU performance projection for multi-kernel transformations
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
An insightful program performance tuning chain for GPU computing
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
ACIC: automatic cloud I/O configurator for HPC applications
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A large-scale cross-architecture evaluation of thread-coarsening
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
Effective sampling-driven performance tools for GPU-accelerated supercomputers
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Starchart: hardware and software optimization using recursive partitioning regression trees
PACT '13 Proceedings of the 22nd international conference on Parallel architectures and compilation techniques
CUDA-NP: realizing nested thread-level parallelism in GPGPU applications
Proceedings of the 19th ACM SIGPLAN symposium on Principles and practice of parallel programming
Accelerating a hydrological uncertainty ensemble model using graphics processing units (GPUs)
Computers & Geosciences
A memory access model for highly-threaded many-core architectures
Future Generation Computer Systems
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Tuning code for GPGPU and other emerging many-core platforms is a challenge because few models or tools can precisely pinpoint the root cause of performance bottlenecks. In this paper, we present a performance analysis framework that can help shed light on such bottlenecks for GPGPU applications. Although a handful of GPGPU profiling tools exist, most of the traditional tools, unfortunately, simply provide programmers with a variety of measurements and metrics obtained by running applications, and it is often difficult to map these metrics to understand the root causes of slowdowns, much less decide what next optimization step to take to alleviate the bottleneck. In our approach, we first develop an analytical performance model that can precisely predict performance and aims to provide programmer-interpretable metrics. Then, we apply static and dynamic profiling to instantiate our performance model for a particular input code and show how the model can predict the potential performance benefits. We demonstrate our framework on a suite of micro-benchmarks as well as a variety of computations extracted from real codes.