Communications of the ACM - Special issue on parallelism
Vector models for data-parallel computing
Vector models for data-parallel computing
Introduction to Algorithms
Scan primitives for GPU computing
Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Scalable Parallel Programming with CUDA
Queue - GPU Computing
Massive parallelization of SPICE device model evaluation on GPU-based SIMD architectures
IFMT '08 Proceedings of the 1st international forum on Next-generation multicore/manycore technologies
Solving Sparse Linear Systems on NVIDIA Tesla GPUs
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Dynamic Load Balancing of Matrix-Vector Multiplications on Roadrunner Compute Nodes
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Efficient band approximation of Gram matrices for large scale kernel methods on GPUs
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Taming irregular EDA applications on GPUs
Proceedings of the 2009 International Conference on Computer-Aided Design
Model-driven autotuning of sparse matrix-vector multiply on GPUs
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Mathematical limits of parallel computation for embedded systems
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Proceedings of the international conference on Supercomputing
Nonlinear-dynamical attention allocation via information geometry
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Towards accelerating irregular EDA applications with GPUs
Integration, the VLSI Journal
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
High-performance sparse matrix-vector multiplication on GPUs for structured grid computations
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
New basic linear algebra methods for simulation on GPUs
Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
Atomic-free irregular computations on GPUs
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
| Hi-index | 0.00 |
Modern microprocessors are becoming increasingly parallel devices, and GPUs are at the leading edge of this trend. Designing parallel algorithms for manycore chips like the GPU can present interesting challenges, particularly for computations on sparse data structures. One particularly common example is the collection of sparse matrix solvers and combinatorial graph algorithms that form the core of many physical simulation techniques. Although seemingly irregular, these operations can often be implemented with data parallel operations that map very well to massively parallel processors.