2025 ThunderKittens: Simple, Fast, and Adorable Kernels Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y Fu, and Christopher Re In The Thirteenth International Conference on Learning Representations, 2025 OpenReview PDF 2023 Partitioning and Deployment of Deep Neural Networks on Edge Clusters Arjun Parthasarathy, and Bhaskar Krishnamachari arXiv preprint, 2023 arXiv PDF 2022 DEFER: Distributed Edge Inference for Deep Neural Networks Arjun Parthasarathy, and Bhaskar Krishnamachari In 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) . Best Paper Award , 2022 arXiv PDF SEIFER: Scalable Edge Inference for Deep Neural Networks Arjun Parthasarathy, and Bhaskar Krishnamachari Workshop on Challenges in Deploy and Monitoring ML Systems, Conference on Neural Information Processing Systems (NeurIPS), 2022 arXiv PDF Partitioning and Placement of Deep Neural Networks on Distributed Edge Devices to Maximize Inference Throughput Arjun Parthasarathy, and Bhaskar Krishnamachari In 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC), 2022 arXiv PDF
ThunderKittens: Simple, Fast, and Adorable KernelsIn The Thirteenth International Conference on Learning Representations, 2025
