2007
DOI: 10.1007/s11265-007-0061-x
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Design and Implementation of a High-Performance and Complexity-Effective VLIW DSP for Multimedia Applications

Abstract: This paper presents the design and implementation of a novel VLIW digital signal processor (DSP) for multimedia applications. The DSP core embodies a distributed & ping-pong register file, which saves 76.8% silicon area and improves 46.9% access time of centralized ones found in most VLIW processors by restricting its access patterns. However, it still has comparable performance (estimated in cycles) with state-of-the-art DSP for multimedia applications. A hierarchical instruction encoding scheme is also adopt… Show more

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Cited by 16 publications
(14 citation statements)
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“…Figure 2 distributed & ping-pong register file, which supports highbandwidth data operands to and from the parallel functional units. Compared with an equivalent centralized register file used in state-of-the-art high-performance VLIW processors, the distributed & ping-pong register file reduces 76.8% silicon area and shortens 46.9% access times [3,8,9]. Table 1 summarizes the performance comparison of licensable cores for digital signal processing [10].…”
Section: Pacdsp Corementioning
confidence: 99%
See 3 more Smart Citations
“…Figure 2 distributed & ping-pong register file, which supports highbandwidth data operands to and from the parallel functional units. Compared with an equivalent centralized register file used in state-of-the-art high-performance VLIW processors, the distributed & ping-pong register file reduces 76.8% silicon area and shortens 46.9% access times [3,8,9]. Table 1 summarizes the performance comparison of licensable cores for digital signal processing [10].…”
Section: Pacdsp Corementioning
confidence: 99%
“…However, PACDSP has a low-complexity register file instead of a centralized one in the other two DSP cores, and it still has the outstanding performance for its customized instructions and optimized program flow mechanisms. By the way, PACDSP has very high code density through its variable-length operation encoding, NOP removal, and embedded code replication techniques [3,11,12]. The program sequencer dynamically aligns the VLIW packets with different numbers of operations, each of which is itself variable-length encoded.…”
Section: Pacdsp Corementioning
confidence: 99%
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“…Different architectural design solutions [6] were proposed to increase performance and reduce power consumption. These solutions include DSPs, GPUs, VLIWs, and ASIPs combined with a myriad of techniques, e.g., loop transformations, software pipelining, and compiler optimizations [2,24,26].…”
Section: Introductionmentioning
confidence: 99%