Srinivasa
Kanduru
Senior Researcher, Health Technology
PhD (Tech)
Areas of expertise
Heterogeneous Multi-core and Many-core Systems
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
Biography
https://users.utu.fi/spakan/
Research
System software for resource efficient edge computingMachine learning for on-chip resource managementPast: Adaptive resource efficient computing, run-time approximation, dynamic power/performance management.
Publications
Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems (2015)
IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip (2015)
International Symposium on Networks-on-Chip
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Dark Silicon Aware Run-time Mapping for Many-core Systems - A Patterning Approach (2015)
IEEE International Conference on Computer Design
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Dynamic Power Management for Many-Core Platforms in the Dark Silicon Era: A Multi-Objective Control Approach (2015)
International Symposium on Low Power Electronics and Design
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Mixed-criticality run-time task mapping for NoC-based many-core systems (2014)
Euromicro international conference on parallel, distributed and network-based processing
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))