Mithuna Thottethodi
Computer Science · Purdue University West Lafayette
Publications
85
Citations
2,678
Est. group size
~1
Recurring co-author estimate
Active years
28
Publishing since 1998
This researcher works in computer architecture and systems, designing specialized hardware accelerators and network infrastructure to make computation faster and more efficient, particularly for machine learning workloads. Recent work spans GPU acceleration for bioinformatics, memory-efficient AI inference hardware, datacenter network design, and secure computing techniques. The work combines hardware architecture design with systems-level optimization for cloud and datacenter environments.
Publication output has been fairly steady over the past decade, fluctuating between roughly 1 and 5 papers per year without a clear upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- BLAZE: Exploiting Hybrid Parallelism and Size-customized Kernels to Accelerate BLASTP on GPUs
2025
- Library of Networks: An Online Tool for Design and Analysis of Network Topologies
2025
- NetSmith: An Optimization Framework for Machine-Discovered Network Topologies
2024
- NetSmith: An Optimization Framework for Machine-Discovered Network Topologies
arXiv (Cornell University) · 2024
- Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference
arXiv (Cornell University) · 2024
- Eureka: Efficient Tensor Cores for One-sided Unstructured Sparsity in DNN Inference
2023
- SafeBet: Secure, Simple, and Fast Speculative Execution
arXiv (Cornell University) · 2023
- Occam: Optimal Data Reuse for Convolutional Neural Networks
ACM Transactions on Architecture and Code Optimization · 2022
- Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 2022
- FastZ
2021
- Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For Convolutional Neural Networks
arXiv (Cornell University) · 2021
- Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For\n Convolutional Neural Networks
arXiv (Cornell University) · 2021
- OCCAM: Optimal Data Reuse for Convolutional Neural Networks
arXiv (Cornell University) · 2021
- Dart: Divide and Specialize for Fast Response to Congestion in RDMA-Based Datacenter Networks
IEEE/ACM Transactions on Networking · 2020
- Network Interface Architecture for Remote Indirect Memory Access (RIMA) in Datacenters
ACM Transactions on Architecture and Code Optimization · 2020
- arXiv (Cornell University)×10
- ACM Transactions on Architecture and Code Optimization×2
- Purdue e-Pubs (Purdue University System)×2
- IEEE/ACM Transactions on Networking×1
- IEEE Transactions on Cloud Computing×1
- T. N. Vijaykumar
Computer Science · Purdue University West Lafayette
- Dhabaleswar K. Panda
Computer Science · The Ohio State University
- Tao Li
Computer Science · Purdue University West Lafayette
- Xiaodong Zhang
Computer Science · The Ohio State University
- Bharath Ramesh
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile