Part 1: Programming and Tools 1. Formal analysis techniques for reliable GPU programming: current solutions and call to action 2. SnuCL: A unified OpenCL framework for heterogeneous clusters 3. Thread communication and synchronization on massively parallel GPUs 4. Software-level task scheduling on GPUs 5. Data placement on GPUs Part 2: Algorithms and Applications 6. Biological sequence analysis on GPU 7. Graph algorithms on GPUs 8. GPU alignment of two and three sequences 9. Augmented Block Cimmino Distributed Algorithm for solving tridiagonal systems on GPU 10. GPU computing applied to linear and mixed-integer programming 11. GPU-accelerated shortest paths computations for planar graphs 12. GPU sorting algorithms 13. MPC: An effective floating-point compression algorithm for GPUs 14. Adaptive sparse matrix representation for efficient matrix-vector multiplication Part 3: Architecture and Performance 15. A framework for accelerating bottlenecks in GPU execution with assist warps 16. Accelerating GPU accelerators through neural algorithmic transformation 17. The need for heterogeneous network-on-chip architectures with GPGPUs: A case study with photonic interconnects 18. Accurately modeling GPGPU frequency scaling with the CRISP performance model Part 4: Power and Reliability 19. Energy and power considerations of GPUs 20. Architecting the last-level cache for GPUs using STT-MRAM nonvolatile memory 21. Power management of mobile GPUs 22. Advances in GPU reliability research 23. Addressing hardware reliability challenges in general-purpose GPUs

Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications