Research

We have an open position for a project associate/JRF to work on high-performance computing for sparse tensor computations. The JRF will have the potential to transition into a PhD program. Looking for enthusiastic candidates with experience in programming. If you are interested, please drop me an email.

Funding

• [SERB Core Research Grant (CRG)] Scalable Sparse Tensor Computations. PI, total amount 2,558,864 INR, 2024-2027. Funding Agency: Science and Engineering Research Board (SERB), Government of India.

Selected Works

For a complete publication list, please visit my Google Scholar.

• [SPAA] Raghavendra Kanakagiri and Edgar Solomonik. Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. ACM Symposium on Parallelism in Algorithms and Architectures, 2024.

• [Euro-Par] Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik and Andreas Grüneis. Optimizing Distributed Tensor Contractions using Node-Aware Processor Grids. International European Conference on Parallel and Distributed Computing, 2023.

• [SIAM PP] Tim Baer, Raghavendra Kanakagiri, and Edgar Solomonik. Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. SIAM Conference of Parallel Processing for Scientific Computing, 2022.

• [MICRO] Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, et al. SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021.

• [IPDPS] Maciej Besta*, Raghavendra Kanakagiri*, Harun Mustafa, et al. Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons (*Equal contribution). IEEE International Parallel and Distributed Processing Symposium, 2020.

• [ICCD] Joe Augustine, Raghavendra Kanakagiri, John Jose, Madhu Mutyam. Router Buffer Caching for Managing Shared Cache Blocks in Tiled Multi-Core Processors. IEEE 38th International Conference on Computer Design, 2020.

• [JLESC] Raghavendra Kanakagiri and Laxmikant Kale. Scalable Graph Algorithms for Cluster-Finding. 9^th Joint Laboratory for Extreme Scale Computing Workshop, 2019.

• [HiPEAC, TACO] Raghavendra Kanakagiri, Biswabandan Panda and Madhu Mutyam. MBZip: Multi-Block Data Compression. High Performance, Edge and Cloud Computing, 2018.

• [arXiv] Raghavendra Kanakagiri and Sathish Vadhiyar. Determination of Checkpointing Intervals for Malleable Applications. arXiv:1711.00270 [cs.DC], 2017.

• [TC] Raghavendra Kanakagiri, Biswabandan Panda and Madhu Mutyam. PBC: Prefetched Blocks Compaction. IEEE Transactions on Computers, 2016 (Volume 65).