Instruction Level Parallelism (ILP) speedups of an order-of-magnitude or greater may be possible using the techniques described herein. Traditional speculative code execution is the execution of code down one path of a branch (branch prediction) or both paths of a branch (eager execution), before the condition of the branch has been evaluated, thereby executing code ahead of time, and improving performance. A third, optimal, method of speculative execution, Disjoint Eager Execution (DEE), is described herein. A restricted form of DEE, easier to implement than pure DEE, is developed and evaluated. An implementation of both DEE and minimal control dependencies is described. DEE is shown both theoretically and experimentally to yield more para...
Abstract. The traditional target machine of a parallelizing compiler can execute code sections eithe...
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
277 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.For many applications, specul...
Instruction Level Parallelism (ILP) speedups of an order-of-magnitude or greater may be possible usi...
Our goal is to dramatically increase the performance of uniprocessors through the exploitation of in...
Control and data flow speculation can improve processor performance through increased ILP. First it ...
The available instruction level parallelism (ILP) is extremely limited within basic blocks of non-nu...
Disjoint Eager Execution (DEE) has demonstrated Instruction Level Parallelism (ILP) speedups of a f...
The major specific contributions are: (1) We introduce a new compiler analysis to identify the memor...
Speculative multithreading holds the potential to substantially improve the execution performance of...
To achieve good performance on modern hardware, software must be designed with a high degree of para...
This article describes a technique for path unfolding for conditional branches in parallel programs ...
Commodity microprocessors uniformly apply branch prediction and single path speculative execution to...
Superscalar and superpipelining techniques increase the overlap between the instructions in a pipeli...
Instruction pipelining, out-of-order execution, and branch prediction are techniques that improve pe...
Abstract. The traditional target machine of a parallelizing compiler can execute code sections eithe...
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
277 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.For many applications, specul...
Instruction Level Parallelism (ILP) speedups of an order-of-magnitude or greater may be possible usi...
Our goal is to dramatically increase the performance of uniprocessors through the exploitation of in...
Control and data flow speculation can improve processor performance through increased ILP. First it ...
The available instruction level parallelism (ILP) is extremely limited within basic blocks of non-nu...
Disjoint Eager Execution (DEE) has demonstrated Instruction Level Parallelism (ILP) speedups of a f...
The major specific contributions are: (1) We introduce a new compiler analysis to identify the memor...
Speculative multithreading holds the potential to substantially improve the execution performance of...
To achieve good performance on modern hardware, software must be designed with a high degree of para...
This article describes a technique for path unfolding for conditional branches in parallel programs ...
Commodity microprocessors uniformly apply branch prediction and single path speculative execution to...
Superscalar and superpipelining techniques increase the overlap between the instructions in a pipeli...
Instruction pipelining, out-of-order execution, and branch prediction are techniques that improve pe...
Abstract. The traditional target machine of a parallelizing compiler can execute code sections eithe...
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
277 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.For many applications, specul...