Value speculation has been proposed as a technique that can overcome true data dependencies, hide memory latencies, and expose higher degrees of Instruction Level Parallelism (ILP). Branch direction prediction and target address prediction are two widely used control speculation techniques aimed at providing a steady stream of instructions to the instruction window. In this paper we consider a load value predictor used together with an aggressive branch predictor microarchitecture and investigate the effects of load value misspeculations on branch resolution. We study the performance impact of the interaction of these mechanisms and charecterize the occurence of these events in a multiple issue, out-of-order, superscalar pipeline. We perfor...
Accurate static branch prediction is the key to many techniques for exposing, enhancing, and exploit...
A relativeA, small set of static instructions has significant leverage on program execution performa...
This paper presents an experimental and analytical study of value prediction and its impact on specu...
A larger instruction window on Out-of-Order (OoO) cores facilitates better exploitation of inherent ...
Instruction Level Parallelism (ILP) is one of the key issues to boost the performance of future gene...
Pipelined microprocessors allow the simultaneous execution of several machine instructions at a time...
Though current general-purpose processors have several small CPU cores as opposed to a single more c...
Pipeline stalls due to branches represent one of the most significant impediments to realizing the p...
High performance microprocessors have relied on accurate branch predictors to maintain high instruct...
Abstract: In our previously published research we discovered some very difficult to predict branches...
As the issue width and depth of pipelining of high performance superscalar processors increase, the ...
textPerformance of modern pipelined processor depends on steady flow of useful instructions for proc...
High-performance superscalar processors examine a large pool of speculative instructions, called the...
Branch prediction feeds a speculative execution processor core with instructions. Branch mispredicti...
Despite years of study, branch mispredictions remain as a significant performance impediment in pipe...
Accurate static branch prediction is the key to many techniques for exposing, enhancing, and exploit...
A relativeA, small set of static instructions has significant leverage on program execution performa...
This paper presents an experimental and analytical study of value prediction and its impact on specu...
A larger instruction window on Out-of-Order (OoO) cores facilitates better exploitation of inherent ...
Instruction Level Parallelism (ILP) is one of the key issues to boost the performance of future gene...
Pipelined microprocessors allow the simultaneous execution of several machine instructions at a time...
Though current general-purpose processors have several small CPU cores as opposed to a single more c...
Pipeline stalls due to branches represent one of the most significant impediments to realizing the p...
High performance microprocessors have relied on accurate branch predictors to maintain high instruct...
Abstract: In our previously published research we discovered some very difficult to predict branches...
As the issue width and depth of pipelining of high performance superscalar processors increase, the ...
textPerformance of modern pipelined processor depends on steady flow of useful instructions for proc...
High-performance superscalar processors examine a large pool of speculative instructions, called the...
Branch prediction feeds a speculative execution processor core with instructions. Branch mispredicti...
Despite years of study, branch mispredictions remain as a significant performance impediment in pipe...
Accurate static branch prediction is the key to many techniques for exposing, enhancing, and exploit...
A relativeA, small set of static instructions has significant leverage on program execution performa...
This paper presents an experimental and analytical study of value prediction and its impact on specu...