Performance and energy optimisation in CPUs through fuzzy knowledge representation
This paper presents an automatic design space exploration using processor design
knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced …
knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced …
A machine learning approach to accelerating DSE of reconfigurable accelerator systems
Reconfigurable hardware accelerators (RAs) have become a frequent choice in embedded
systems design to meet the performance demand of current embedded applications …
systems design to meet the performance demand of current embedded applications …
Improving Multicore Architectures by Selective Value Prediction of High-Latency Arithmetic Instructions.
This work is an original contribution consisting in the implementation and evaluation of a
selective value predictor in a multicore environment, with focus on long latency arithmetical …
selective value predictor in a multicore environment, with focus on long latency arithmetical …
A-DECA: an Automated Design space Exploration approach for Computing Architectures to develop efficient high-performance many-core processors
High-performance many-core processors have complex computing architectures with many
design parameters related to different levels (CPU macro/micro-architecture, interconnect …
design parameters related to different levels (CPU macro/micro-architecture, interconnect …
A comparison of multi-objective algorithms for the automatic design space exploration of a superscalar system
H Calborean, R Jahr, T Ungerer, L Vintan - Advances in Intelligent Control …, 2013 - Springer
In today's computer architectures the design spaces are huge, thus making it very difficult to
find optimal configurations. One way to cope with this problem is to use Automatic Design …
find optimal configurations. One way to cope with this problem is to use Automatic Design …
Multi-objective DSE algorithms' evaluations on processor optimization
Very complex micro-architectures, like complex superscalar/SMT or multicore systems, have
lots of configurations. Exploring this huge design space and trying to optimize multiple …
lots of configurations. Exploring this huge design space and trying to optimize multiple …
[PDF][PDF] Investigating a New Design Pattern for Efficient Implementation of Prediction Algorithms.
In our previously published researches we used different prediction algorithms to solve
several problems in computer architecture and ubiquitous computing. During the time, we …
several problems in computer architecture and ubiquitous computing. During the time, we …
[PDF][PDF] Prediction-Based modeling and estimation in advanced computing systems
A Gellert - 2023 - webspace.ulbsibiu.ro
This habilitation thesis is a synopsis of the most important research achievements after the
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …
Finding near‐perfect parameters for hardware and code optimizations with automatic multi‐objective design space explorations
R Jahr, H Calborean, L Vintan… - … Practice and Experience, 2015 - Wiley Online Library
In the design process of computer systems or processor architectures, typically many
different parameters are exposed to configure, tune, and optimize every component of a …
different parameters are exposed to configure, tune, and optimize every component of a …
[PDF][PDF] A multicore architecture with selective load value prediction
A Gellert, L Vintan - … of the Romanian Academy, Series A, 2018 - academiaromana.ro
This paper presents how a multicore architecture can be improved with selective load value
prediction. We integrated into the Sniper multicore simulator a small and fast per-core load …
prediction. We integrated into the Sniper multicore simulator a small and fast per-core load …