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» Compiling object-oriented data intensive applications
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PLDI
2005
ACM
14 years 1 months ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve
PACS
2004
Springer
141views Hardware» more  PACS 2004»
14 years 25 days ago
Energy-Aware Data Prefetching for General-Purpose Programs
There has been intensive research on data prefetching focusing on performance improvement, however, the energy aspect of prefetching is relatively unknown. Our experiments show th...
Yao Guo, Saurabh Chheda, Israel Koren, C. Mani Kri...
IEEEPACT
2000
IEEE
13 years 12 months ago
Exploring the Limits of Sub-Word Level Parallelism
Multimedia instruction set extensions have become a prominent feature in desktop microprocessor platforms, promising superior performance on a wide range of floating-point and int...
Kevin Scott, Jack W. Davidson
RSP
2006
IEEE
120views Control Systems» more  RSP 2006»
14 years 1 months ago
A Case Study of Design Space Exploration for Embedded Multimedia Applications on SoCs
Embedded real-time multimedia applications usually imply data parallel processing. SIMD processors embedded in SOCs are cost-effective to exploit the underlying parallelism. Howev...
Isabelle Hurbain, Corinne Ancourt, François...
ICS
2000
Tsinghua U.
13 years 11 months ago
Automatic loop transformations and parallelization for Java
From a software engineering perspective, the Java programming language provides an attractive platform for writing numerically intensive applications. A major drawback hampering i...
Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff,...