Systems and methods for parallelizing applications that operate on irregular data structures. In an embodiment, the methods and systems enable programmers to use set iterators to express algorithms containing amorphous data parallelism. Parallelization can be achieved by speculatively executing multiple iterations of the iterator in parallel. Conflicts between speculatively executing iterations can be detected and handled using information in class libraries.Board of Regents, University of Texas Syste
. Most data-parallel languages use arrays to support parallelism. This regular data structure allows...
Thread Level Speculation (TLS) is a dynamic code parallelization technique proposed to keep the soft...
A large class of scientific and engineering applications may be classified as irregular and loosely ...
Systems and methods for parallelizing applications that operate on irregular data structures. In an ...
Parallel computing hardware is ubiquitous, ranging from cell-phones with multiple cores to super-com...
Thesis (Ph. D.--University of Rochester. Dept. of Computer Science, 1991. Simultaneously published i...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
Data-parallel languages, such as H scIGH P scERFORMANCE F scORTRAN or F scORTRAN D, provide a machin...
The last several years have seen multicore architectures become ascendant in the computing world. As...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Parallel computers can provide impressive speedups, but unfortunately such speedups are difficult to...
The basic idea under speculative parallelization (also called thread-level spec-ulation) [2, 6, 7] i...
International audienceThread Level Speculation (TLS) is a dynamic code parallelization technique pro...
With speculative parallelization, code sections that cannot be fully analyzed by the compiler are ag...
Coarse-grained task parallelism exists in sequential code and can be leveraged to boost the use of ...
. Most data-parallel languages use arrays to support parallelism. This regular data structure allows...
Thread Level Speculation (TLS) is a dynamic code parallelization technique proposed to keep the soft...
A large class of scientific and engineering applications may be classified as irregular and loosely ...
Systems and methods for parallelizing applications that operate on irregular data structures. In an ...
Parallel computing hardware is ubiquitous, ranging from cell-phones with multiple cores to super-com...
Thesis (Ph. D.--University of Rochester. Dept. of Computer Science, 1991. Simultaneously published i...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
Data-parallel languages, such as H scIGH P scERFORMANCE F scORTRAN or F scORTRAN D, provide a machin...
The last several years have seen multicore architectures become ascendant in the computing world. As...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Parallel computers can provide impressive speedups, but unfortunately such speedups are difficult to...
The basic idea under speculative parallelization (also called thread-level spec-ulation) [2, 6, 7] i...
International audienceThread Level Speculation (TLS) is a dynamic code parallelization technique pro...
With speculative parallelization, code sections that cannot be fully analyzed by the compiler are ag...
Coarse-grained task parallelism exists in sequential code and can be leveraged to boost the use of ...
. Most data-parallel languages use arrays to support parallelism. This regular data structure allows...
Thread Level Speculation (TLS) is a dynamic code parallelization technique proposed to keep the soft...
A large class of scientific and engineering applications may be classified as irregular and loosely ...