Part 1: Programming and Tools1. 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 Applications6. 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 Performance15. 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 Reliability19. 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