Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks
- 2022
- PODC 2022
Vassilis Vassiliadis
Overview
Title
Research Scientist - Next Generation Systems
Location
IBM Research Europe - Ireland
Dublin, Ireland
Bio
Dr Vassilis Vassiliadis is a Research Scientist in IBM Research Ireland and member of the Next Generation Systems and Cloud group. He is an expert in Approximate and Unreliable Computing and has previously worked on programming models, runtime systems, and deep learning. His work focuses on runtime support for the execution of complex Workflows. He holds a Ph.D. in Computer Engineering (Significance aware computing) from the University of Thessaly since 2017.
Publications
Fast, Transparent, and High-Fidelity Memoization Cache-Keys for Computational Workflows
- 2022
- SCC 2022
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling
- 2021
- CLOUD 2021
AllScale toolchain pilot applications: PDE based solvers using a parallel development environment
- 2020
- Computer Physics Communications