1997
DOI: 10.1109/71.629488
|View full text |Cite
|
Sign up to set email alerts
|

High-throughput, low-memory applications on the Pica architecture

Abstract: This paper describes Pica, a fine-grain, message-passing architecture designed to efficiently support high-throughput, low-memory parallel applications, such as image processing, object recognition, and data compression. By specializing the processor and reducing local memory (4,096 36-bit words), multiple nodes can be implemented on a single chip. This allows highperformance systems for high-throughput applications to be realized at lower cost. The architecture minimizes overhead for basic parallel operations… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

1998
1998
2004
2004

Publication Types

Select...
4
2

Relationship

3
3

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 32 publications
0
2
0
Order By: Relevance
“…Some of the message traffic workload parameters used in this paper were collected from applications running on a message passing architecture (PICA) being developed at Georgia Tech [17]. The application suite includes both scientific and image processing programs running on system configurations of 100 to 4,000 nodes.…”
Section: Traffic Workloadmentioning
confidence: 99%
“…Some of the message traffic workload parameters used in this paper were collected from applications running on a message passing architecture (PICA) being developed at Georgia Tech [17]. The application suite includes both scientific and image processing programs running on system configurations of 100 to 4,000 nodes.…”
Section: Traffic Workloadmentioning
confidence: 99%
“…The characteristics of the traces are given in Table 4, where the problem size refers to: the number of elements in the grid partitioning for thermal relaxation, the number of elements in the matrices multiplied in matrix multiplication, the number of pixels in the compressed image in JPEG, and the number of pixels in the reconstructed image in PET. More details regarding the actual parallelization of these applications can be found in [51].…”
Section: Trace-driven Trafficmentioning
confidence: 99%