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» Compiling SA-C Programs to FPGAs: Performance Results
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PACT
1997
Springer
15 years 3 months ago
Estimating the Parallel Start-Up Overhead for Parallelizing Compilers
A technique for estimating the cost of executing a loop nest in parallel (parallel start-up overhead) is described in this paper. This technique is of utmost importance for paralle...
Rizos Sakellariou
PPOPP
1999
ACM
15 years 4 months ago
Automatic Parallelization of Divide and Conquer Algorithms
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
Radu Rugina, Martin C. Rinard
CASES
2008
ACM
15 years 1 months ago
Efficient code caching to improve performance and energy consumption for java applications
Java applications rely on Just-In-Time (JIT) compilers or adaptive compilers to generate and optimize binary code at runtime to boost performance. In conventional Java Virtual Mac...
Yu Sun, Wei Zhang
110
Voted
IPPS
1999
IEEE
15 years 4 months ago
Run-Time Selection of Block Size in Pipelined Parallel Programs
Parallelizing compiler technology has improved in recent years. One area in which compilers have made progress is in handling DOACROSS loops, where crossprocessor data dependencie...
David K. Lowenthal, Michael James
CGO
2003
IEEE
15 years 3 months ago
Coupling On-Line and Off-Line Profile Information to Improve Program Performance
In this paper, we describe a novel execution environment for Java programs that substantially improves execution performance by incorporating both on-line and off-line profile inf...
Chandra Krintz