ISCAPDCS
2001
14 years 25 days ago
2001
-Multi-dimensional applications, such as image processing and seismic analysis, usually require the optimized performance obtained from instruction-level parallelism. The critical ...
PDIS
1993
IEEE
14 years 3 months ago
1993
IEEE
The research communityhas considered hash-based parallel joinalgorithmsthe algorithmsof choice for almosta decade. However, almostnone ofthe commercialparallel database systems us...
ICPP
1996
IEEE
14 years 3 months ago
1996
IEEE
Data locality and synchronization overhead are two important factors that affect the performance of applications on multiprocessors. Loop fusion is an effective way for reducing s...
GLVLSI
1997
IEEE
14 years 3 months ago
1997
IEEE
Multi-dimensional systems containing nested loops are widely used to model scientific applications such as image processing, geophysical signal processing and fluid dynamics. Ho...
VLDB
1999
ACM
14 years 3 months ago
1999
ACM
Microsoft SQL Server was successful for many years for transaction processing and decision support workloads with neither merge join nor hash join, relying entirely on nested loop...
ICS
1999
Tsinghua U.
14 years 3 months ago
1999
Tsinghua U.
On modern computers, the performance of programs is often limited by memory latency rather than by processor cycle time. To reduce the impact of memory latency, the restructuring ...
NCA
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper deals with general nested loops and proposes a novel scheduling methodology for reducing the communication cost of parallel programs. General loops contain complex loop...
CODES
2005
IEEE
14 years 5 months ago
2005
IEEE
Nested loops are the most critical sections in many scientific and Digital Signal Processing (DSP) applications. It is important to study effective and efficient transformation ...
ICS
2009
Tsinghua U.
14 years 6 months ago
2009
Tsinghua U.
Tiling is a crucial loop transformation for generating high performance code on modern architectures. Efficient generation of multilevel tiled code is essential for maximizing da...