Research
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.
[AMD HPC Fund] Accelerating Tensor Computations. PI, HPC Access, 2024-2025.
Selected Works
For a complete list of publications, please visit my Google Scholar page.
[SoCC] Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, and Devesh Tiwari. The Hidden Carbon Footprint of Serverless Computing. ACM Symposium on Cloud Computing, 2024.
[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. 9th 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).