HiPEAC

HiPEAC Collaboration Grants 2020 results

The awardees of this year Collaboration Grants are out! Thanks a lot to everyone that applied.

HiPEAC Collaboration Grants, the successful mobility program that allows students to complement their research in other institutions has closed for this year.

Despite the worldwide pandemic, the 2020 edition got a record number of applications, as 27 of the 56 proposals were granted! PhD and post-graduate students all over Europe had until the 15th of October to submit their research proposals and the waiting period is now over!

The awardees were informed last week about the outcomes.

The following list comprises the winners of the grant, the title of their work, and place of mobility:

  • Maria Mushtaq, “Automated Assessment of Microarchitectural Attack Surface”, Yale University
  • Raul Murillo, Alberto Del Barrio Garcia and Christian Pilato, “ESP-PeNSieve: automating the deployment of DNNs through ESP and Deep PeNSieve”, Politecnico de Milano
  • Mohammad Loni, “Compensating the accuracy loss in CNN pruning by fine-tuning network activation functions for the accurate deploying vision-based auto-landing system”, Leibniz University
  • Mohammad-Hashem Haghbayan, “Run-time resource management in autonomous multi-agent systems”, ETH Zürich
  • Maria Nektaria Xekalaki, “Dynamic Load Balancing For Big Data Applications”, National Technical University of Athens
  • Francisco Muñoz-Martínez, Manuel E. Acacio, José L. Abellán and Tushar Krishna, “Optimizing the data orchestration in DNN Accelerators using STONNE”, Georgia Institute of Technology
  • Branimir Pervan, “SCRAPElang – a RISE based programming model for heterogeneous systems”, University of Edinburgh
  • Ari Rasch and Tobias Grosser, “Productive Parallel Programming via Polyhedral Techniques and Multi-Dimensional Homomorphisms”, University of Edinburgh
  • Ivan Fernandez, “Enabling Energy-Efficient Time Series Analysis Using Non-Volatile Memories and Transprecision Computing”, ETH Zürich
  • Cristóbal Ramirez Lazo, Adrián Cristal Kestelman and Dionisios Pnevmatikatos, “Analysis and modeling of vector architectures”, National Technical University of Athens
  • Stefano Corda, “Adaptive approximate near-memory computing for radio-astronomical imaging”, Dresden Technical University
  • Shubham Rai, “Exploring the symbiotic relationship between Logic synthesis and Machine learning”, Google AI California
  • Amund Bergland Kvalsvik, Magnus Själander and Stefanos Kaxiras,“HiPEAC Collaboration Grant”, Uppsala Universitet
  • Daniel Garcia Moreno, Wojciech Kabacinski, Szymon Szczesny, Alberto Del Barrio and Guillermo Botella, “Near Human Computation through Field Programmable Analog Arrays”, Poznań University of Technology
  • Lucía Pons, “Energy Efficient Partitioning of the Last Level Cache and Memory Bandwidth”, University of Cambridge
  • Tarek Elouaret, Stéphane Zuckerman and Dirk Koch, “Task scheduling on a heterogeneous multi-FPGA system using FOS”, The University of Manchester
  • Ashkan Asgharzadeh Donighi, Alberto Ros Bardisa and Stefanos Kaxiras, “Utilizing lightweight Atomic Instructions for efficient & secure updating the shared memory blocks in many-core architectures”, Uppsala Universitet
  • Jose Manuel Rocher González, Francisco J. Quiles and Tor Skeie, "“An evaluation of adaptive routing in Infiniband”, Simula Research Laboratory
  • Carlos Escuín lasco, Pablo Ibáñez Marín, Víctor Viñals Yúfera and Jerónimo Castrillón, “Increasing the endurance of large STT-RAM Last-Level caches by using compression and a precise aging model”, TU Dresden
  • Eduardo José Gómez Hernández, Alberto Ros Bardisa and Stefanos Kaxiras, “Non-speculative multi-address locking for any size critical regions”, Uppsala Universitet
  • Fahrettin Koc, “Adaptive Memory and Low Power FPGA Design for the AI/DL applications”, Barcelona Supercomputing Center (BSC)
  • Italo Assis, “Efficient automatic finite difference code generation for multiples GPU via Devito”, Imperial College London
  • Jordi Cardona, “Collaboration Grant BSC-ACCEMIC”, Accemic Technologies GmbH
  • Johannes Lenfers and Michel Steuwer, “Using Reinforcement Learning to guide Rewrite-based Optimizations”, University of Edinburgh
  • Behnaz Ranjbar, “Safe Mixed-Criticality System Design by Analyzing the Real Mixed-Criticality Applications”, Huawei Technologies Duesseldorf GmbH
  • Marek Konieczny, “Evaluation of modern topologies in data center networks”, ETH Zürich
  • Patricia Arroba, “Multi-objective computation offloading optimization in Cloud-Edge federations leveraging location-aware smart grid and energy prices”, The University of Melbourne, Australia

Metadata

Application areas: Energy infrastructure, Healthcare, Smart home

Topics: Accelerators, Digital twins, Edge computing, High-performance computing, Machine learning


Summary

The 2020 HiPEAC Collaboration Grants awarded 27 proposals from PhD and post-graduate students across Europe, despite the pandemic. A diverse range of research topics were recognized from multiple institutions.