This paper presents modulo unrolling without unrolling (mod-ulo unrolling WU), a method for message aggregation for parallel loops in message passing programs that use affine ar-ray accesses in Chapel, a Partitioned Global Address Space (PGAS) parallel programming language. Messages incur a non-trivial run time overhead, a significant component of which is independent of the size of the message. Therefore, aggregating messages improves performance. Our optimiza-tion for message aggregation is based on a technique known as modulo unrolling, pioneered by Barua [3], whose purpose was to ensure a statically predictable single tile number for each memory reference for tiled architectures, such as the MIT Raw Machine [18]. Modulo unrolling WU app...
We define and explore the design space of efficient algorithms to compute ROLLUP aggregates, using t...
Minimizing communications when mapping affine loop nests onto distributed memory parallel computers ...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
This work presents modulo unrolling without unrolling (modulo unrolling WU), a method for message ag...
• Improve the runtime of certain types of parallel computers – In particular, message passing comput...
Minimizing communication overhead when mapping affine loop nests onto distributed memory parallel co...
115 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation also demons...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
International audienceModulo Variable Expansion (MVE) [1] used with soft- ware pipelining (SWP) may ...
The divergence of application behavior from optimal network usage leads to performance bottlenecks i...
Clustered organizations are becoming a common trend in the design of VLIW architectures. In this wor...
Partitioned global address space (PGAS) languages like UPC or Fortran provide a global name space to...
Minimizing communications when mapping affine loop nests onto distributed memory parallel computers ...
Technology trends suggest that future machines will relyon parallelism to meet increasing performanc...
We define and explore the design space of efficient algorithms to compute ROLLUP aggregates, using t...
Minimizing communications when mapping affine loop nests onto distributed memory parallel computers ...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
This work presents modulo unrolling without unrolling (modulo unrolling WU), a method for message ag...
• Improve the runtime of certain types of parallel computers – In particular, message passing comput...
Minimizing communication overhead when mapping affine loop nests onto distributed memory parallel co...
115 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation also demons...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
International audienceModulo Variable Expansion (MVE) [1] used with soft- ware pipelining (SWP) may ...
The divergence of application behavior from optimal network usage leads to performance bottlenecks i...
Clustered organizations are becoming a common trend in the design of VLIW architectures. In this wor...
Partitioned global address space (PGAS) languages like UPC or Fortran provide a global name space to...
Minimizing communications when mapping affine loop nests onto distributed memory parallel computers ...
Technology trends suggest that future machines will relyon parallelism to meet increasing performanc...
We define and explore the design space of efficient algorithms to compute ROLLUP aggregates, using t...
Minimizing communications when mapping affine loop nests onto distributed memory parallel computers ...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...