Details
| Original language | English |
|---|---|
| Pages (from-to) | 159-170 |
| Number of pages | 12 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 5455 LNCS |
| Publication status | Published - 2009 |
| Event | 22nd International Conference on Architecture of Computing Systems - ARCS 2009 - Delft, Netherlands Duration: 10 Mar 2009 → 13 Mar 2009 |
Abstract
Although current SIMD processor architectures can improve the processing performance by exploiting the data level parallelism inherent in video applications, an important performance penalty appears when processing data that is not formatted in an amenable way, e.g. unaligned memory access. This paper presents an enhanced DMA controller that performs block-based data transfers and a realignment when accessing a word in an external memory that is not aligned with the natural data memory/bus width boundary. Moreover, the enhanced DMA controller performs a signal extension while accessing data outside a specific region, e.g. a video frame, decreasing the total amount of processing cycles required for a typical video application. Performance improvements of up to 25% can be achieved when running a highly time consuming video encoding task (motion estimation) on a generic VLIW architecture with the enhanced DMA controller compared to a basic block-transfer DMA controller.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5455 LNCS, 2009, p. 159-170.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - An enhanced DMA controller in SIMD processors for video applications
AU - Payá-Vayá, Guillermo
AU - Martín-Langerwerf, Javier
AU - Moch, Sören
AU - Pirsch, Peter
PY - 2009
Y1 - 2009
N2 - Although current SIMD processor architectures can improve the processing performance by exploiting the data level parallelism inherent in video applications, an important performance penalty appears when processing data that is not formatted in an amenable way, e.g. unaligned memory access. This paper presents an enhanced DMA controller that performs block-based data transfers and a realignment when accessing a word in an external memory that is not aligned with the natural data memory/bus width boundary. Moreover, the enhanced DMA controller performs a signal extension while accessing data outside a specific region, e.g. a video frame, decreasing the total amount of processing cycles required for a typical video application. Performance improvements of up to 25% can be achieved when running a highly time consuming video encoding task (motion estimation) on a generic VLIW architecture with the enhanced DMA controller compared to a basic block-transfer DMA controller.
AB - Although current SIMD processor architectures can improve the processing performance by exploiting the data level parallelism inherent in video applications, an important performance penalty appears when processing data that is not formatted in an amenable way, e.g. unaligned memory access. This paper presents an enhanced DMA controller that performs block-based data transfers and a realignment when accessing a word in an external memory that is not aligned with the natural data memory/bus width boundary. Moreover, the enhanced DMA controller performs a signal extension while accessing data outside a specific region, e.g. a video frame, decreasing the total amount of processing cycles required for a typical video application. Performance improvements of up to 25% can be achieved when running a highly time consuming video encoding task (motion estimation) on a generic VLIW architecture with the enhanced DMA controller compared to a basic block-transfer DMA controller.
UR - http://www.scopus.com/inward/record.url?scp=63449111544&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-00454-4_17
DO - 10.1007/978-3-642-00454-4_17
M3 - Conference article
AN - SCOPUS:63449111544
VL - 5455 LNCS
SP - 159
EP - 170
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SN - 0302-9743
T2 - 22nd International Conference on Architecture of Computing Systems - ARCS 2009
Y2 - 10 March 2009 through 13 March 2009
ER -