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 AI & HPC Fund] Accelerating Tensor Computations. PI, HPC Access, 2024-2025.

• [Toshiba Software] A Framework for Optimizing LLM Inference on Multi-GPU Systems. PI, Consultancy, 2024-2025.

Recent Selected Works

For a complete list of publications, please visit my Google Scholar page.

• [FCPC @ PPoPP] Marati Bhaskar and Raghavendra Kanakagiri. Parallel Breadth-First Search Optimization Strategies. FCPC Workshop at PPoPP, 2025.
  First Place Leaderboard

• [SC] Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, and Devesh Tiwari. Water Footprint Modeling, Characterization, and Analysis Toward Water-aware HPC System Design and Operations. International Conference for High Performance Computing, Networking, Storage, and Analysis, 2025.

• [SIGMETRICS] Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, and Devesh Tiwari. ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing. International Conference on Measurement and Modeling of Computer Systems, 2025.

• [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, 2020.