Computing without processors

Communications of the ACM

Volumn 54, Issue 8, 2011, Pages 46-54

  Singh, Satnam ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HETEROGENEOUS SYSTEMS;

EID: 79961043084     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/1978542.1978558     Document Type: Article

References (15)

1. A badi, M., et al. Semantics of transactional memory and automatic mutual exclusion. ACM Transactions on Programming Languages and Systems 33, 1 (2011).
2. Adve, S.V. and Boehm, H-J. Memory models: A case for rethinking parallel languages and hardware. Commun. ACM 53, 8 (Aug. 2010).
3. Auerbach, J., et al. Lime: A Java-compatible and synthesizable language for heterogeneous architectures. In Proceedings of the ACM International Conference on Object-oriented Programming Systems Languages and Applications (OOPSLA 2010).
4. Borkar, S. and Chien, A.A. The future of microprocessors. Commun. ACM 54, 5 (May 2011).
5. C ardelli, L. Strand algebras for DNA computing. Natural Computing 10, 1(2009), 407.
6. G reaves, D. and Singh, S. Designing applicationspecific circuits with concurrent C# programs. In Proceedings of the 8th ACM/IEEE International Conference on Formal Methods and Models for Codesign (2010).
7. Hagiya, M. Towards autonomous molecular computers. In Proceedings of 3rd Annual Genetic Programming Conference (1998).
8. Lesniak, M. PASTHA -Parallelizing stencil calculations in Haskell. In Proceedings of the 5th ACM SIGPLAN Workshop on Declarative Aspects of Multicore Programming (2010).
9. M adhavapeddy, A. and Singh, S. Reconfigurable data processing for clouds. MSDN Blogs (2011); http://blogs.msdn.com/b/satnam-singh/archive/2011/01/ 18/reconfigurable-data-processing-for-clouds.aspx.
10. Nvidia Corporation. Nvidia CUDA (2007); http://developer.nvidia.com/cuda.
11. Owens, J.D., et al. GPU computing. In Proceedings of the IEEE 96, 5 (2008).
12. Shavit, N. Data structures in the multicore age. Commun. ACM 54, 3 (Mar. 2011)).
13. Tarditi, D., Puri, S. and Oglesby, J. Accelerator: Using data parallelism to program GPUs for general-purpose uses. ASPLOS (2006).
14. Trancoso, P., Othonos, D. and Artemiou, A. Dataparallel acceleration of decision support queries using Cell/BE and GPUs. In Proceedings of the 2009 ACM International Conference on Computing Frontiers.
15. Xu, L. and Wan, J.W. Real-time intensity-based rigid 2D-3D medical image registration using rapidmind multi-core development platform. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2008).