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» Fine-grain performance scaling of soft vector processors
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ASPLOS
1996
ACM
13 years 8 months ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
CASES
2009
ACM
13 years 10 months ago
Fine-grain performance scaling of soft vector processors
Embedded systems are often implemented on FPGA devices and 25% of the time [2] include a soft processor— a processor built using the FPGA reprogrammable fabric. Because of their...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
CASES
2008
ACM
13 years 6 months ago
VESPA: portable, scalable, and flexible FPGA-based vector processors
While soft processors are increasingly common in FPGAbased embedded systems, it remains a challenge to scale their performance. We propose extending soft processor instruction set...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
FPGA
2008
ACM
133views FPGA» more  FPGA 2008»
13 years 5 months ago
Vector processing as a soft-core CPU accelerator
The currently accepted method of accelerating applications in FPGA soft processor systems is to design a custom hardware accelerator. This paper suggests the alternative approach ...
Jason Yu, Guy Lemieux, Christopher Eagleston
ISLPED
2003
ACM
129views Hardware» more  ISLPED 2003»
13 years 9 months ago
A critical analysis of application-adaptive multiple clock processors
Enabled by the continuous advancement in fabrication technology, present day synchronous microprocessors include more than 100 million transistors and have clock speeds well in ex...
Emil Talpes, Diana Marculescu