Proceedings of the 9th conference on Computing Frontiers
Metronome: operating system level performance management via self-adaptive computing
Proceedings of the 49th Annual Design Automation Conference
Proceedings of the 34th International Conference on Software Engineering
Cache-aware affinitization on commodity multicores for high-speed network flows
Proceedings of the eighth ACM/IEEE symposium on Architectures for networking and communications systems
Algorithmic species: A classification of affine loop nests for parallel programming
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
Energy consumption modeling for hybrid computing
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Computational sprinting on a hardware/software testbed
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Future of GPGPU micro-architectural parameters
Proceedings of the Conference on Design, Automation and Test in Europe
Hypervised transient SPICE simulations of large netlists & workloads on multi-processor systems
Proceedings of the Conference on Design, Automation and Test in Europe
GPU-CC: a reconfigurable GPU architecture with communicating cores
Proceedings of the 16th International Workshop on Software and Compilers for Embedded Systems
Modeling the effects of DFS on power consumption in hybrid chip multiprocessors
E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing
Proceedings of International Workshop on Adaptive Self-tuning Computing Systems
Analytical modeling of energy efficiency in heterogeneous processors
Computers and Electrical Engineering
The Journal of Supercomputing
Hi-index | 4.10 |
The end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microproessor in computing. The era of sequential computing must give way to an era in which parallelism holds the forefront. Although important scientific and engineering challenges lie ahead, this is an opportune time for innovation in programming systems and computing architectures.