In modern architectures, memory access latency is an increasingly performance-limiting factor. To reduce this latency, we propose concepts and implementation of a new technique that uses an in-memory processor to precompute future, critical load addresses and forward the computed values to the main processor. The acronym for this technique is IMPT for In-Memory Precomputation-based forwarding Threads. IMPT combines the advantages of precomputationbased techniques with the low memory access latency of processing-in-memory. To evaluate IMPT, we use a cycle-accurate simulation of an aggressive out-of-order processor with accurate simulation of bus and memory contention. The results show a performance gain of up to 1.47 (1.21 on average) over a...
Fault Tolerance is an important issue considered when developing a reliable Distributed System. Reac...
This study aims to implement, analyze, and compare the effectiveness of a novel technique known as ...
Steady State Visual Evoked Potentials (SSVEPs) have been the most commonly utilized Brain Computer ...
This paper presents a novel compiler algorithm for selecting program slices that prefetch load value...
To meet the accuracy, latency and energy efficiency requirements during real-time collection and ana...
X-ray computed tomography is a widely used medical imaging modality for screening and diagnosing dis...
This paper aims to improve the performance of system identification based on optimization of Pseudo ...
In Data Intensive Computing, properties of the data that are the input for an application decide run...
This thesis details research carried out into the application of unsupervised neural network and st...
A software simulator capability of simulating execution of an algorithm graph on a given system unde...
Vanderlande Industries is the global market leader in the value added logistic process automation fo...
Every year, many poor health outcomes are the result of patients missing their medication, as prescr...
In general terms, this project aimed at the analysis and design of techniques for very high-speed ne...
Tese de doutoramento em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa atrav...
This thesis focuses on designing and implementing a real-time vehicle controller. The vehicle contr...
Fault Tolerance is an important issue considered when developing a reliable Distributed System. Reac...
This study aims to implement, analyze, and compare the effectiveness of a novel technique known as ...
Steady State Visual Evoked Potentials (SSVEPs) have been the most commonly utilized Brain Computer ...
This paper presents a novel compiler algorithm for selecting program slices that prefetch load value...
To meet the accuracy, latency and energy efficiency requirements during real-time collection and ana...
X-ray computed tomography is a widely used medical imaging modality for screening and diagnosing dis...
This paper aims to improve the performance of system identification based on optimization of Pseudo ...
In Data Intensive Computing, properties of the data that are the input for an application decide run...
This thesis details research carried out into the application of unsupervised neural network and st...
A software simulator capability of simulating execution of an algorithm graph on a given system unde...
Vanderlande Industries is the global market leader in the value added logistic process automation fo...
Every year, many poor health outcomes are the result of patients missing their medication, as prescr...
In general terms, this project aimed at the analysis and design of techniques for very high-speed ne...
Tese de doutoramento em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa atrav...
This thesis focuses on designing and implementing a real-time vehicle controller. The vehicle contr...
Fault Tolerance is an important issue considered when developing a reliable Distributed System. Reac...
This study aims to implement, analyze, and compare the effectiveness of a novel technique known as ...
Steady State Visual Evoked Potentials (SSVEPs) have been the most commonly utilized Brain Computer ...