Madhavan Manivannan

Project assistent at Computer Systems
Image of Madhavan Manivannan

Showing 19 publications

2020

DELTA: Distributed Locality-Aware Cache Partitioning for Tile-based Chip Multiprocessors

Nadja Holtryd, Madhavan Manivannan, Per Stenström et al
Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020, p. 578-589
Paper in proceedings
2020

Enhancing Multithreaded Performance of Asymmetric Multicores with SIMD Offloading

Jeckson Dellagostin Souza, Madhavan Manivannan, Miquel Pericas et al
Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, p. 967-970
Paper in proceedings
2020

Coordinated management of DVFS and cache partitioning under QoS constraints to save energy in multi-core systems

Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas et al
Journal of Parallel and Distributed Computing. Vol. 144, p. 246-259
Journal article
2020

Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints

Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas et al
Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020, p. 590-601
Paper in proceedings
2018

Global dead-block management for task-parallel programs

Madhavan Manivannan, Miquel Pericas, Vasileios Papaefstathiou et al
Transactions on Architecture and Code Optimization. Vol. 15 (3)
Journal article
2017

Runtime-Assisted Global Cache Management for Task-based Parallel Programs

Madhavan Manivannan, Miquel Pericas, Vasileios Papaefstathiou et al
IEEE Computer Architecture Letters. Vol. 16 (2), p. 145-148
Journal article
2016

A Case for Runtime-Assisted Global Cache Management

Madhavan Manivannan, Miquel Pericas, Vasileios Papaefstathiou et al
Report
2016

RADAR: Run-time assisted Dead-Region Management for Last-Level Caches

Madhavan Manivannan, Miquel Pericas, Vasileios Papaefstathiou et al
IEEE International Symposium on High Performance Computer Architecture, p. 11-
Paper in proceedings
2016

RADAR: Runtime-assisted dead region management for last-level caches

Madhavan Manivannan, Vasileios Papaefstathiou, Miquel Pericas et al
22nd IEEE International Symposium on High Performance Computer Architecture, HPCA 2016, Barcelona, Spain, 12-16 March 2016, p. 644-656
Paper in proceedings
2015

RADAR: Runtime-Assisted Dead Region Management for Last-Level Caches

Madhavan Manivannan, Vasileios Papaefstathiou, Miquel Pericas et al
Report
2014

Runtime-guided cache coherence optimizations in multi-core architectures

Madhavan Manivannan, Per Stenström
Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS, p. 625-636
Paper in proceedings
2013

Runtime-Guided Cache Coherence Optimizations in Multi-core Architectures

Madhavan Manivannan, Per Stenström
Report
2013

Efficient Forwarding of Producer-Consumer Data in Task-based Programs

Madhavan Manivannan, Anurag Negi, Per Stenström
Report
2013

Efficient Forwarding of Producer-Consumer Data in Task-based Programs

Madhavan Manivannan, Anurag Negi, Per Stenström
Proceedings of the International Conference on Parallel Processing. 40th International Conference on Parallel Processing, ICPP 2013, Lyon, 1-4 October 2013, p. 517-522
Paper in proceedings
2011

Implications of Merging Phases on Scalability of Multicore Architectures

Madhavan Manivannan, Ben Juurlink, Per Stenström
Internantional Conference on Supercomputing (ICS), p. Page 380-
Conference poster
2011

Implications of Merging Phases on Scalability of Multi-core Architectures

Madhavan Manivannan, Ben Juurlink, Per Stenström
Proceedings of the International Conference on Parallel Processing. 40th International Conference on Parallel Processing, ICPP 2011, Taipei City, 13-16 September 2011, p. 622-631
Paper in proceedings
2010

Implications of Serial Reduction Phases in Data Mining Applications on Scalability of Multi-core Designs

Madhavan Manivannan, Per Stenström
Proceedings of the Third Swedish Workshop on Multicore Computing
Conference contribution

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