Atanas Rountev
Computer Science · The Ohio State University
Publications
160
Citations
6,024
Est. group size
—
Recurring co-author estimate
Active years
27
Publishing since 1999
This researcher works on making computer programs run faster and more efficiently, especially for scientific and machine-learning computations involving large multi-dimensional arrays (tensors) and sparse data (data with many zero values). Their work also touches on software testing and privacy-preserving methods for analyzing how software is used. Students could expect to work on topics spanning compiler optimization, high-performance code generation for CPUs and GPUs, and software analysis techniques.
Publication output has generally declined over the past decade, from a peak of 10 in 2018 to 1-2 per year in recent years (2023-2025).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- FaSTCC: Fast Sparse Tensor Contractions on CPUs
2025
- Distributed Sparse Tensor Computations in MLIR
2025
- CoNST: Code Generator for Sparse Tensor Networks
ACM Transactions on Architecture and Code Optimization · 2024
- CoNST: Code Generator for Sparse Tensor Networks
arXiv (Cornell University) · 2024
- Automatic Generation of Distributed-Memory Mappings for Tensor Computations
2023
- Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks
2022
- Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution
2022
- Differential Privacy for Coverage Analysis of Software Traces
Leibniz-Zentrum für Informatik (Schloss Dagstuhl) · 2021
- Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation
2021
- IOOpt: automatic derivation of I/O complexity bounds for affine programs
2021
- Differential Privacy for Coverage Analysis of Software Traces (Artifact)
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2021
- A study of event frequency profiling with differential privacy
2020
- Differentially-Private Control-Flow Node Coverage for Software Usage Analysis
USENIX Security Symposium · 2020
- Differentially-private software frequency profiling under linear constraints
Proceedings of the ACM on Programming Languages · 2020
- Introducing Differential Privacy Mechanisms for Mobile App Analytics of Dynamic Content
2020
- Proceedings of the IEEE×1
- Automated Software Engineering×1
- Software Quality Journal×1
- ACM Transactions on Architecture and Code Optimization×1
- ACM SIGPLAN Notices×1
- Chaitanya Koparkar
Computer Science · Indiana University
- Artem Pelenitsyn
Computer Science · Purdue University West Lafayette
- Charitha Saumya
Computer Science · Purdue University West Lafayette
- Tiark Rompf
Computer Science · Purdue University West Lafayette
- 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 19, 2026.
Claim or correct this profile