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Design of an one-cycle decompression hardware for performance increase in embedded systems
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 39th annual Design Automation Conference table of contents
New Orleans, Louisiana, USA
SESSION: Design innovations for embedded processors table of contents
Pages: 34 - 39  
Year of Publication: 2002
ISBN ~ ISSN:0738-100X , 1-58113-461-4
Authors
Haris Lekatsas  NEC USA, Princeton, NJ
Jörg Henkel  NEC USA, Princeton, NJ
Venkata Jakkula  NEC USA, Princeton, NJ
Sponsor
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 23,   Citation Count: 15
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ABSTRACT

Code compression is known as an effective technique to reduce instruction memory size on an embedded system. However, code compression can also be very effective in increasing processor-to-memory bandwidth and hence provide increased system performance. In this paper we describe our design and design methodology of the first running prototype of a one-cycle code decompression unit that decompresses compressed instructions on-the-fly. We describe in detail the architecture that enables decompression of multiple instructions in one cycle and we present the design methodologies and tools used. The stand-alone decompression unit does not require any modifications on the processor core. We observed up to 63% performance increase with 25% in average over a wide variety of applications running on the hardware prototype under various system configurations.


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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IBM. CodePack PowerPC Code Compression Utility User's Manual. Version 3.0, 1998.
 
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N. Ishiura and M. Yamaguchi. Instruction Code Compression for Application Specific VLIW Processors Based on Automatic Field Partitioning. Proceedings of the Workshop on Synthesis and System Integration of Mixed Technologies, pages 105--109, 1998.
 
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C. Lefurgy and T. Mudge. Code Compression for DSP. CSE-TR-380-98, University of Michigan, November 1998.
 
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C. Lefurgy, E. Piccininni, and T. Mudge. Reducing Code Size with Run-time Decompression. Proceedings of the International Symposium of High-Performance Computer Architecture, January 2000.
 
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CITED BY  15

Collaborative Colleagues:
Haris Lekatsas: colleagues
Jörg Henkel: colleagues
Venkata Jakkula: colleagues