2 citations · 2 across the 4 of their papers we have counts for
4 papers
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
Zane Fink, Konstantinos Parasyris, Praneet Rathi +3
Recent advancements in Machine Learning (ML) have substantially improved its predictive and computational abilities, offering promising opportunities for surrogate modeling in scie…
HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU
Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis +1
The end of Dennard scaling and the slowdown of Moore's law led to a shift in technology trends toward parallel architectures, particularly in HPC systems. To continue providing per…
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems
Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao +3
Heterogeneity has become a mainstream architecture design choice for building High Performance Computing systems. However, heterogeneity poses significant challenges for achieving…
A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing
Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios +5
Reducing energy consumption is one of the key challenges in computing technology. One factor that contributes to high energy consumption is that all parts of the program are consid…