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Methodology for operation shuffling and L0 cluster generation for low energy heterogeneous VLIW processors
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ACM Transactions on Design Automation of Electronic Systems (TODAES) archive
Volume 12 ,  Issue 4  (September 2007) table of contents
Article No. 41  
Year of Publication: 2007
ISSN:1084-4309
Authors
Yuki Kobayashi  Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
Murali Jayapala  IMEC vzw., Leuven, Belgium
Praveen Raghavan  IMEC vzw., Katholieke Universitait Leuven, Leuven, Belgium
Francky Catthoor  IMEC vzw., Katholieke Universitait Leuven, Leuven, Belgium
Masaharu Imai  Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
Publisher
ACM  New York, NY, USA
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ABSTRACT

Clustering L0 buffers is effective for energy reduction in the instruction memory hierarchy of embedded VLIW processors. However, the efficiency of the clustering depends on the schedule of the target application. Especially in heterogeneous or data clustered VLIW processors, determining energy efficient scheduling is more constraining.

This article proposes a realistic technique supported by a tool flow to explore operation shuffling for improving generation of L0 clusters. The tool flow explores assignment of operations for each cycle and generates various schedules. This approach makes it possible to reduce energy consumption for various processor architectures. However, the computational complexity is large because of the huge exploration space. Therefore, some heuristics are also developed, which reduce the size of the exploration space while the solution quality remains reasonable. Furthermore, we also propose a technique to support VLIW processors with multiple data clusters, which is essential to apply the methodology to real world processors.

The experimental results indicate potential gains of up to 27.6% in energy in L0 buffers, through operation shuffling for heterogeneous processor architectures as well as a homogeneous architecture. Furthermore, the proposed heuristics drastically reduce the exploration search space by about 90%, while the results are comparable to full search, with average differences of less than 1%. The experimental results indicate that energy efficiency can be improved in most of the media benchmarks by the proposed methodology, where the average gain is around 10% in comparison with generating clusters without operation shuffling.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Benini, L., Bruni, D., Chinosi, M., Silvano, C., Zaccaria, V., and Zafalon, R. 2001. A power modeling and estimation framework for VLIW-based embedded systems. In Proceedings of the IEEE International Workshop on Power And Timing Modeling, Optimization and Simulation, Yverdon-Les-Bains, IEEE. Switzerland.
3
 
4
5
 
6
Clear Speed. http://www.clearspeed.com/.
 
7
8
 
9
 
10
 
11
 
12
 
13
Jayapala, M., Vander Aa, T., Barat, F., Catthoor, F., Coporaal, H., and Deconinck, G. 2004. L0 cluster synthesis and operation shuffling. In Proceedings of the IEEE International Workshop on Power And Timing Modeling, Optimization and Simulation. Santorini, Greece. IEEE, 311--321.
 
14
 
15
16
 
17
MediaBench. http://cares.icsl.ucla.edu/MediaBench/.
 
18
Rixner, S., Dally, W. J., Khailany, B., Mattson, P., Kapasi, U. J., and Owens, J. D. 2000. Register organization for media processing. In Proceedings of the International Symposium on High-Performance Computer Architecture. Toulouse, France, 375--386.
 
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Scarpazza, D. P., Raghavan, P., Novo, D., Catthoor, F., and Verkest, D. 2006. Software simultaneous multi-threading, a technique to exploit task-level parallelism to improve instruction- and data-level parallelism. In Proceedings of the Power and Timing Modeling, Optimization and Simulation. Montpellier, France, Springer Verlag, 12--23.
 
20
Silicon Hive. http://www.silicon-hive.com/.
21
 
22
Texas Instruments. 2000. TMS320C6000 CPU and Instruction Set Reference Guide.
 
23
Trimaran. Trimaran: An infrastructure for research in instruction-level parallelism. http://www.trimaran.org/.
 
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Collaborative Colleagues:
Yuki Kobayashi: colleagues
Murali Jayapala: colleagues
Praveen Raghavan: colleagues
Francky Catthoor: colleagues
Masaharu Imai: colleagues