Sciweavers

173 search results - page 10 / 35
» Loop Parallelization Algorithms: From Parallelism Extraction...
Sort
View
ICS
2000
Tsinghua U.
14 years 5 hour ago
Compiling object-oriented data intensive applications
Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. High-level language and compiler support for developing ...
Renato Ferreira, Gagan Agrawal, Joel H. Saltz
EUROPAR
1997
Springer
14 years 17 days ago
A Relational Approach to the Compilation of Sparse Matrix Programs
Abstract. We present a relational algebra based framework for compiling e cient sparse matrix code from dense DO-ANY loops and a speci cation of the representation of the sparse ma...
Vladimir Kotlyar, Keshav Pingali, Paul Stodghill
PPOPP
1999
ACM
14 years 22 days 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
CODES
2010
IEEE
13 years 6 months ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik
CGO
2010
IEEE
14 years 3 months ago
Parameterized tiling revisited
Tiling, a key transformation for optimizing programs, has been widely studied in literature. Parameterized tiled code is important for auto-tuning systems since they often execute...
Muthu Manikandan Baskaran, Albert Hartono, Sanket ...