This paper presents a new approach to resource-constrained compiler extraction of fine-grain parallelism, targeted towards VLIW supercomputers, and in particular, the IBM VLIW (Very Large Instruction Word) processor. The algorithms described integrate resource limitations into Percolation Scheduling—a global parallelization technique—to deal with resource constraints, without sacrificing the generality and completeness of Percolation Scheduling in the process. This is in sharp contrast with previous approaches which either applied only to conditional-free code, or drastically limited the parallelization process by imposing relatively local heuristic resource constraints early in the scheduling process
Abstract—Customization of a (generic) processor to a partic-ular application makes it possible to ac...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
VLIW/EPIC (Very Large Instruction Word/Explicitly Parallel Instruction Computing) processors are inc...
This paper presents a new approach to resource-constrained compiler extraction of fine-grain paralle...
This thesis investigates parallelism and hardware design trade-offs of parallel and pipelined archit...
Percolation Scheduling, a technique for compile-time code parallelization, has proven very successfu...
A new Global Resource-constrained Percolation (GRiP) scheduling technique is presented for exploitin...
Percolation Scheduling (PS) is a new technique for compiling programs into parallel code. It attemp...
Percolation Scheduling (PS) is a new technique for compiling programs into parallel code. It attemp...
This paper presents a software pipelining algorithm for the automatic extraction of ne-grain paralle...
International audienceIn this paper, we focus on the resource-constrained modulo scheduling problem,...
Abstract-- Many research groups have addressed code generation issues for a long time, and have achi...
Fine-grain parallelism available in VLIW and superscalar processors can be mainly exploited in compu...
Previous results solving the resource-constrained project scheduling problem through the paralleliz...
Fine-grain parallelism available in VLIW and superscalar processors can be mainly exploited in compu...
Abstract—Customization of a (generic) processor to a partic-ular application makes it possible to ac...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
VLIW/EPIC (Very Large Instruction Word/Explicitly Parallel Instruction Computing) processors are inc...
This paper presents a new approach to resource-constrained compiler extraction of fine-grain paralle...
This thesis investigates parallelism and hardware design trade-offs of parallel and pipelined archit...
Percolation Scheduling, a technique for compile-time code parallelization, has proven very successfu...
A new Global Resource-constrained Percolation (GRiP) scheduling technique is presented for exploitin...
Percolation Scheduling (PS) is a new technique for compiling programs into parallel code. It attemp...
Percolation Scheduling (PS) is a new technique for compiling programs into parallel code. It attemp...
This paper presents a software pipelining algorithm for the automatic extraction of ne-grain paralle...
International audienceIn this paper, we focus on the resource-constrained modulo scheduling problem,...
Abstract-- Many research groups have addressed code generation issues for a long time, and have achi...
Fine-grain parallelism available in VLIW and superscalar processors can be mainly exploited in compu...
Previous results solving the resource-constrained project scheduling problem through the paralleliz...
Fine-grain parallelism available in VLIW and superscalar processors can be mainly exploited in compu...
Abstract—Customization of a (generic) processor to a partic-ular application makes it possible to ac...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
VLIW/EPIC (Very Large Instruction Word/Explicitly Parallel Instruction Computing) processors are inc...