On the Automatic Parallelization of the Perfect Benchmarks®
IEEE Transactions on Parallel and Distributed Systems
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Proceedings of the Fourth International Workshop on Languages and Compilers for Parallel Computing
Proceedings of the 2004 international symposium on Low power electronics and design
Multigrain Parallel Processing on Compiler Cooperative Chip Multiprocessor
INTERACT '05 Proceedings of the 9th Annual Workshop on Interaction between Compilers and Computer Architectures
Compiler control power saving scheme for multi core processors
LCPC'05 Proceedings of the 18th international conference on Languages and Compilers for Parallel Computing
Energy-efficient real-time scheduling of multimedia tasks on multi-core processors
Proceedings of the 2010 ACM Symposium on Applied Computing
A real-time, energy-efficient system software suite for heterogeneous multicore platforms
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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A heterogeneous multi-core processor (HMCP) architecture, which integrates general purpose processors (CPU) and accelerators (ACC) to achieve high-performance as well as low-power consumption with the support of a parallelizing compiler, was developed. The evaluation was performed using an MP3 audio encoder on a simulator that accurately models the HMCP. It showed that 16-frame encoding on the HMCP with four CPUs and four ACCs yielded 24.5-fold speed-up of performance against sequential execution on one CPU. Furthermore, power saving by the compiler reduced energy consumption of the encoding to 0.17 J, namely, by 28.4%.