Grants per year
Personal profile
Education/Academic qualification
Computer Science, PhD, Carnegie Mellon University
… → 2009
Computer Science, MS, Carnegie Mellon University
… → 2006
Computer Science, MS, University of Rochester
… → 1997
Computer Science, BS, University of Crete
… → 1995
Research interests keywords
- Approximate computation
- Caches
- Data-oriented software architectures
- Databases
- Memory systems
- Microarchitecture
- Multicore
- Multiprocessors
- Nanophotonics
- Computer architecture
- Performance analysis
- Runtime environments
- Parallel systems
- Silicon photonics
- Quantum computing
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Dive into the research topics where Nikos Hardavellas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Exploring Machine Learning-based Approaches to Auto-tuning Distributed Memory Communication
Dinda, P. A. & Hardavellas, N.
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
3/1/21 → 12/31/23
Project: Research project
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CSR: Medium: Collaborative Research: Interweaving the Parallel Software/Hardware Stack
Dinda, P. A., Campanoni, S. & Hardavellas, N.
9/1/18 → 8/31/23
Project: Research project
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CAREER: Energy-Efficient and Energy-Proportional Silicon-Photonic Manycore Architectures
5/1/15 → 4/30/21
Project: Research project
Research Output
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Evaluating Functional Memory-Managed Parallel Languages for HPC using the NAS Parallel Benchmarks
Wilkins, M., Weil, G., Arnold, L., Hardavellas, N. & Dinda, P., 2023, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023. Institute of Electrical and Electronics Engineers Inc., p. 413-422 10 p. (2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows
Kandiah, V., Lustig, D., Villa, O., Nellans, D. & Hardavellas, N., Feb 17 2023, CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization. Dubach, C., Bruening, D. & Hardekopf, B. (eds.). Association for Computing Machinery, Inc, p. 186-198 13 p. (CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Program State Element Characterization
Deiana, E. A., Suchy, B., Wilkins, M., Homerding, B., McMichen, T., Dunajewski, K., Dinda, P., Hardavellas, N. & Campanoni, S., Feb 17 2023, CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization. Dubach, C., Bruening, D. & Hardekopf, B. (eds.). Association for Computing Machinery, Inc, p. 199-211 13 p. (CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
WARDen: Specializing Cache Coherence for High-Level Parallel Languages
Wilkins, M., Westrick, S., Kandiah, V., Bernat, A., Suchy, B., Deiana, E. A., Campanoni, S., Acar, U. A., Dinda, P. & Hardavellas, N., Feb 17 2023, CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization. Dubach, C., Bruening, D. & Hardekopf, B. (eds.). Association for Computing Machinery, Inc, p. 122-135 14 p. (CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning
Wilkins, M., Guo, Y., Thakur, R., Dinda, P. & Hardavellas, N., 2022, Proceedings - 2022 IEEE International Conference on Cluster Computing, CLUSTER 2022. Institute of Electrical and Electronics Engineers Inc., p. 161-171 11 p. (Proceedings - IEEE International Conference on Cluster Computing, ICCC; vol. 2022-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
Datasets
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Supermarq: A Scalable Quantum Benchmark Suite - Artifact Evaluation for HPCA 2022
Tomesh, T. (Contributor), Gokhale, P. (Contributor), Omole, V. (Contributor), Ravi, G. S. (Contributor), Smith, K. (Contributor), Viszlai, J. (Contributor), Wu, X. (Contributor), Hardavellas, N. (Contributor), Martonosi, M. (Contributor) & Chong, F. (Contributor), ZENODO, Dec 16 2021
DOI: 10.5281/zenodo.5786391, https://zenodo.org/record/5786391
Dataset
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b-HiVE Hardware Characterization Dataset
Hardavellas, N. (Creator), Northwestern University, 2015
Dataset
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Artifact for "WARDen: Specializing Cache Coherence for High-Level Parallel Languages"
Wilkins, M. (Contributor), Westrick, S. (Contributor), Kandiah, V. (Contributor), Bernat, A. (Contributor), Suchy, B. (Contributor), Deiana, E. A. (Contributor), Campanoni, S. (Contributor), Acar, U. (Contributor), Dinda, P. A. (Contributor) & Hardavellas, N. (Contributor), ZENODO, Nov 28 2022
DOI: 10.5281/zenodo.7374334, https://zenodo.org/record/7374334
Dataset