Rajiv Nishtala
PhD, CS, UPC/BSC
I am Rajiv Nishtala, an associate staff software architect at Silicon labs, Oslo and a former PhD student at the Universitat Politècnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC).
Highlights:
Joined Silicon labs as a software architect (Nov. 2022)
Invited to teach "Introduction to machine learning" at Universitetet i Søraust-Noreg (Feb. 2022)
Invited Speaker at AIDArc-4 @ ISCA 2021 (Apr. 2021)
Our journal got accepted to JPDC (Feb 2021)
Research Overview:
A large part of my research focuses on how to harness the power of machine learning to optimise resource allocation for highly latency-sensitive cloud workloads while minimising power consumption.
My current focus is:
Energy efficiency
Resource management
Applied machine learning techniques.
Educational Overview
Doctor of Philosophy (PhD), Computer Architecture, 2013-2017
Technical University of Catalonia (UPC) , Barcelona, Spain
Thesis: Energy Optimising Methodologies On Heterogeneous Data Centres
Advisor: Prof. Xavier Martorell and Prof. Daniel Mossè
Master of Science (MSc.), Computer Science, 2011-2013
FH Heidelberg, Heidelberg, Germany
Thesis: Energy efficient Thread Co-Scheduling in Heterogeneous Multicore Systems
Advisor: Prof. Daniel Mossè and Prof. Barbara Sprick
Bachelor of Science (BSc.), Computer Science, 2007-2011
ICFAI University, Hyderabad, India
Work Overview:
Silicon labs, Oslo, Norway
Associate staff software architecture, 11/2022 - Present
Siemens Mobility AS, Oslo, Norway
Data Scientist 07/2022 - 10/2022
CoopX, Oslo, Norway
Data Scientist, 05/2020 - 06/2022
Norwegian University of Science and Technology, Trondheim, Norway
Research Scientist, 08/2018 - 05/2020
Barcelona Supercomputing Center, Barcelona, Spain
Postdoctoral Fellow, 08/2017 - 08/2018
Doctoral Fellow, 06/2013 - 08/2017
University of Pittsburgh, Pittsburgh, USA
Visiting Scholar, 10/2012 - 04/2013
Deutsches Krebsforschungszentrum, Heidelberg, Germany
Research Assistant, 06/2012 - 09/2012
Molcad GmbH, Darmstadt, Germany
Student Programmer, 02/2012 - 06/2012
Professional Services:
Reviewer for the MSc. project of Khakim Akhunov (Jan 6, 2020) "Way-predictive instruction cache access in Rocket Chip processor with RISC-V ISA".
Committee member for the MSc. thesis of Felippe Vieira Zacarias (August 30, 2018) “Intelligent Colocation of HPC Workloads for Enhancing Server Efficiency”.
DATE - 2019 (NOT PC/ERC)
IPDPS - 2019 (NOT PC/ERC)
Journal of Supercomputing 2019,2020 (Reviewer)
IEEE Computer Architecture Letters 2019, 2021 (Reviewer)
Invited Speaker at AIDArc-4 @ ISCA 2021 (Apr. 2021)
ACM TACO 2021 (Reviewer)