M.Sc (Tech)
Srinivasa Kanduru

Doctoral student, Software Engineering (Department of Future Technologies)
Doctoral candidate, Terveysteknologia (Department of Future Technologies)

spakan@utu.fi
Joukahaisenkatu 3-5
Turku





Areas of expertise
Computer Systems; Multi-core and Many-core Systems; Run-time Management;

Research

Approximate Computing for Run-time resource management



Publications

Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Kanduri A, Haghbayan MH, Rahmani AM, Liljeberg P, Jantsch A, Tenhunen H, Dutt N
(A1 Journal article – refereed)

Dark Silicon Aware Run-time Mapping for Many-core Systems - A Patterning Approach (2015)
Anil Kanduri, Mohammad-Hashem Haghbayan, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(A4 Article in conference proceedings)

Dynamic Power Management for Many-Core Platforms in the Dark Silicon Era: A Multi-Objective Control Approach (2015)
Amir-Mohammad Rahmani, Mohammad-Hashem Haghbayan, Anil Kanduri, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen
(A4 Article in conference proceedings)

MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip (2015)
Mohammad-Hashem Haghbayan, Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(A4 Article in conference proceedings)

Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems (2015)
Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
(A4 Article in conference proceedings)

Mixed-criticality run-time task mapping for NoC-based many-core systems (2014)
Mohammad Fattah, Amir-Mohammad Rahmani, Thomas Canhao Xu, Anil Kanduri, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(A4 Article in conference proceedings)

A Multicore Approach to Model-Based Analysis and Design of Cyber-Physical Systems (2013)
Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Kaiyu Wan, Ka Lok Man, Juha Plosila
(A4 Article in conference proceedings)




Last updated on 2018-05-02 at 17:07