research
∙
06/02/2023
ODIN: Overcoming Dynamic Interference in iNference pipelines
As an increasing number of businesses becomes powered by machine-learnin...
share
research
∙
12/22/2022
Accelerating CNN inference on long vector architectures via co-design
CPU-based inference can be an alternative to off-chip accelerators, and ...
research
∙
09/09/2022
Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime Constructs
OpenMP is the de facto API for parallel programming in HPC applications....
research
∙
02/23/2022
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures
Chiplets have become a common methodology in modern chip design. Chiplet...
research
∙
12/17/2021
Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)
Efficient runtime task scheduling on complex memory hierarchy becomes in...
research
∙
02/23/2021
CBP: Coordinated management of cache partitioning, bandwidth partitioning and prefetch throttling
Reducing the average memory access time is crucial for improving the per...
research
∙
11/12/2019
Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints
An effective way to improve energy efficiency is to throttle hardware re...
research
∙
11/12/2019
Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems
Reducing the energy expended to carry out a computational task is import...
research
∙
05/02/2019
An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
With the emergence of heterogeneous hardware paving the way for the post...
research
∙
01/17/2019
