Current parallelizing compilers cannot extract a significant fraction of the available parallelism in a loop if it has a complex and/or statically insufficiently defined access pattern. This is an important issue because a large class of complex simulations used in industry todayhave irregular domains and/or dynamically changing interactions. To handle these types of problems methods capable of automatically extracting parallelism at run--time are needed. For this reason, wehave developed the Privatizing DOALL test -- a technique for identifying fully parallel loops at run--time, and dynamically privatizing scalars and arrays. The test is fully parallel, requires no synchronization, is easily automatable, and can be applied to any lo...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
While automatic parallelization of loops usually relies on compile-time analysis of data dependences...
In this paper we give a new run--time technique for finding an optimal parallel execution schedule f...
Current parallelizing compilers cannot extract a significant fraction of the available parallelism i...
Current parallelizing compilers cannot extract a significant fraction of the available parallelism i...
This paper presents both an experiment and a system for inserting run-time dependence and privatizat...
Current parallelizing compilers do a reasonable job of extracting parallelism from programs with reg...
Current parallelizing compilers cannot identify a significant frac-tion of parallelizable loops beca...
This paper presents a set of new run-time tests for speculative parallelization of loops that defy p...
This paper demonstrates that significant improvements to automatic parallelization technology requir...
Current parallelizing compilers cannot identify a signifi-cant fraction of parallelizable loops beca...
[[abstract]]It is well known that extracting parallel loops plays a significant role in designing pa...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
[[abstract]]A run-time technique based on the inspector-executor scheme is proposed in this paper to...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
While automatic parallelization of loops usually relies on compile-time analysis of data dependences...
In this paper we give a new run--time technique for finding an optimal parallel execution schedule f...
Current parallelizing compilers cannot extract a significant fraction of the available parallelism i...
Current parallelizing compilers cannot extract a significant fraction of the available parallelism i...
This paper presents both an experiment and a system for inserting run-time dependence and privatizat...
Current parallelizing compilers do a reasonable job of extracting parallelism from programs with reg...
Current parallelizing compilers cannot identify a significant frac-tion of parallelizable loops beca...
This paper presents a set of new run-time tests for speculative parallelization of loops that defy p...
This paper demonstrates that significant improvements to automatic parallelization technology requir...
Current parallelizing compilers cannot identify a signifi-cant fraction of parallelizable loops beca...
[[abstract]]It is well known that extracting parallel loops plays a significant role in designing pa...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
[[abstract]]A run-time technique based on the inspector-executor scheme is proposed in this paper to...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
While automatic parallelization of loops usually relies on compile-time analysis of data dependences...
In this paper we give a new run--time technique for finding an optimal parallel execution schedule f...