GPU

Books

David B. Kirk and Wen-mei W. Hwu. 2010. Programming Massively Parallel Processors: A Hands-On Approach. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.

Jason Sanders and Edward Kandrot. 2010. CUDA by Example: An Introduction to General-Purpose GPU Programming. Addison-Wesley Professional.

Wen-mei W. Hwu. 2011. GPU Computing Gems Emerald Edition. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.

Web resources

Rob Farber. CUDA, Supercomputing for the Masses. Dr. Dobbs Journal. 21 parts.
1: Introduction 2: Execution of kernels 3: Error handling and global memory performance limitations 4: Understanding and using shared memory (1) 5: Understanding and using shared memory (2) 6: Global memory and the CUDA profiler 7: Comparison G80 vs. GT200 architecture 8: Using libraries with CUDA 9: Extending High-level Languages with CUDA 10: CUDPP, a powerful data-parallel CUDA library 11: Revisiting CUDA memory spaces 12: CUDA 2.2 Changes the Data Movement Paradigm 13: Using texture memory in CUDA 14: Debugging CUDA and using CUDA-GDB 15: Using Pixel Buffer Objects with CUDA and OpenGL 16: CUDA 3.0 provides expanded capabilities 17: CUDA 3.0 provides expanded capabilities and makes development easier 18: Using Vertex Buffer Objects with CUDA and OpenGL 19: Parallel Nsight Part 1: Configuring and Debugging Applications 20: Parallel Nsight Part 2: Using the Parallel Nsight Analysis capabilities 21: The Fermi architecture and CUDA

Victor W. Lee, Changkyu Kim, Jatin Chhugani et.al. 2010. Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. SIGARCH Comput. Archit. News 38, 3 (June 2010), 451-460. DOI=10.1145/1816038.1816021

John Nickolls, Ian Buck, Michael Garland, and Kevin Skadron. 2008. Scalable Parallel Programming with CUDA. Queue 6, 2 (March 2008), 40-53. DOI=10.1145/1365490.1365500. Download of the PDF paper from ACM Queue.

NVDIDIA - CUDA Resources

Documentation: getting started guide, programming guides, reference documents

Downloads: driver, toolkit, SDK

Whitepaper : NVIDIA’s Next Generation CUDA Compute Architecture: Fermi

HPC - High Performance Computing

Aad van Steen. 2010. <b>Overview of recent supercomputers.</b></a> NCF. <a href="http://www.euroben.nl/reports/web10/overview.php">Online version</a>.</p>

Program optimization

David Goldberg. 1991. What every computer scientist should know about floating-point arithmetic. ACM Comput. Surv. 23, 1 (March 1991), 5-48. DOI=10.1145/103162.103163

Ulrich Drepper. 2007. What Every Programmer Should Know About Memory. Reference at Citeseer

Last change: 2014-09-27