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ORCIDDoru-Thom Popovici
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2020 – today
- 2024
[j3]Patricia Gonzalez-Guerrero
, Kylie Huch, Nirmalendu Patra, Doru-Thom Popovici, George Michelogiannakis:
Toward Practical Superconducting Accelerators for Machine Learning Using U-SFQ. ACM J. Emerg. Technol. Comput. Syst. 20(2): 7:1-7:22 (2024)- [c23]Altan Haan, Doru-Thom Popovici, Koushik Sen, Costin Iancu, Alvin Cheung:
To Tile or not to Tile, That is the Question. IPDPS (Workshops) 2024: 449-458 - [c22]Shaikh Arifuzzaman, Hasan S. Arikan, Md Abdul Motaleb Faysal, Maximilian H. Bremer, John Shalf, Doru Popovici:
Unlocking the Potential: Performance Portability of Graph Algorithms on Kokkos Framework. IPDPS (Workshops) 2024: 526-529 - [c21]Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen:
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. NAACL-HLT 2024: 6218-6236 - [i4]Doru-Thom Popovici, Mauro Del Ben, Osni Marques, Andrew Canning:
Flexible Multi-Dimensional FFTs for Plane Wave Density Functional Theory Codes. CoRR abs/2406.05577 (2024) - 2023
- [c20]Mario Vega, Xiaokun Yang, John Shalf, Doru-Thom Popovici:
Towards a Flexible Hardware Implementation for Mixed-Radix Fourier Transforms. HPEC 2023: 1-7 - [c19]Doru-Thom Popovici, Muaaz Gul Awan, Giulia Guidi, Rob Egan, Steven A. Hofmeyr, Leonid Oliker, Katherine A. Yelick:
Designing Efficient SIMD Kernels for High Performance Sequence Alignment. IPDPS Workshops 2023: 167-176 - [c18]Md Abdul Motaleb Faysal, Maximilian H. Bremer, Shaikh Arifuzzaman, Doru Popovici, John Shalf, Cy P. Chan:
Fast Community Detection in Graphs with Infomap Method using Accelerated Sparse Accumulation. IPDPS Workshops 2023: 601-610 - [c17]Patricia Gonzalez-Guerrero, Kylie Huch, Nirmalendu Patra, Doru-Thom Popovici, George Michelogiannakis:
An Area Efficient Superconducting Unary CNN Accelerator. ISQED 2023: 1-8 - [i3]Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen:
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. CoRR abs/2305.18513 (2023) - 2021
- [c16]Md Abdul Motaleb Faysal, Shaikh Arifuzzaman, Cy P. Chan, Maximilian H. Bremer, Doru Popovici, John Shalf:
HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach. HPEC 2021: 1-8 - [c15]Doru-Thom Popovici, Andrew Canning, Zhengji Zhao, Lin-Wang Wang, John Shalf:
A systematic approach to improving data locality across Fourier transforms and linear algebra operations. ICS 2021: 329-341 - 2020
- [j2]Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Multidimensional DFTs. SIAM J. Sci. Comput. 42(5): C245-C264 (2020) - [c14]Yu-Hang Tang, Oguz Selvitopi, Doru-Thom Popovici, Aydin Buluç:
A High-Throughput Solver for Marginalized Graph Kernels on GPU. IPDPS 2020: 728-738
2010 – 2019
- 2019
- [c13]Elliott Binder, Tze Meng Low, Doru-Thom Popovici:
A Portable GPU Framework for SNP Comparisons. IPDPS Workshops 2019: 199-208 - [c12]Doru-Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low:
Exploiting Symmetries of Small Prime-Sized DFTs. PPAM (1) 2019: 162-173 - [i2]Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Parallel Multi-Dimensional DFTs. CoRR abs/1904.10119 (2019) - [i1]Yu-Hang Tang, Oguz Selvitopi, Doru Popovici, Aydin Buluç:
A High-Throughput Solver for Marginalized Graph Kernels on GPU. CoRR abs/1910.06310 (2019) - 2018
- [j1]Franz Franchetti, Tze Meng Low, Doru-Thom Popovici, Richard Michael Veras, Daniele G. Spampinato, Jeremy R. Johnson, Markus Püschel, James C. Hoe, José M. F. Moura:
SPIRAL: Extreme Performance Portability. Proc. IEEE 106(11): 1935-1968 (2018) - [c11]Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Doru-Thom Popovici, Tze Meng Low, Michael E. Franusich, Andrew Canning, Peter McCorquodale, Brian van Straalen, Phillip Colella:
FFTX and SpectralPack: A First Look. HiPC Workshops 2018: 18-27 - [c10]Tze Meng Low, Daniele G. Spampinato, Anurag Kutuluru, Upasana Sridhar, Doru-Thom Popovici, Franz Franchetti, Scott McMillan:
Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices. HPEC 2018: 1-7 - [c9]Doru-Thom Popovici, Tze Meng Low, Franz Franchetti:
Large Bandwidth-Efficient FFTs on Multicore and Multi-socket Systems. IPDPS 2018: 379-388 - 2017
- [c8]Tze Meng Low, Varun Nagaraj Rao, Matthew Lee, Doru-Thom Popovici, Franz Franchetti, Scott McMillan:
First look: Linear algebra-based triangle counting without matrix multiplication. HPEC 2017: 1-6 - [c7]Doru-Thom Popovici, Franz Franchetti, Tze Meng Low:
Mixed data layout kernels for vectorized complex arithmetic. HPEC 2017: 1-7 - 2016
- [c6]Nikolaos Alachiotis, Doru-Thom Popovici, Tze Meng Low:
Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations. IPDPS Workshops 2016: 418-427 - [c5]Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti:
Compilers, hands-off my hands-on optimizations. WPMVP@PPoPP 2016: 4:1-4:8 - 2015
- [c4]Doru-Thom Popovici, Francis P. Russell, Karl A. Wilkinson, Chris-Kriton Skylaris, Paul H. J. Kelly, Franz Franchetti:
Generating Optimized Fourier Interpolation Routines for Density Functional Theory Using SPIRAL. IPDPS 2015: 743-752 - 2014
- [c3]Fazle Sadi, Berkin Akin, Doru-Thom Popovici, James C. Hoe, Larry T. Pileggi, Franz Franchetti:
Algorithm/hardware co-optimized SAR image reconstruction with 3D-stacked logic in memory. HPEC 2014: 1-6 - 2013
- [c2]Ioana Sora, Doru-Thom Popovici:
Automatic Extraction of Behavioral Models from Distributed Systems and Services. ENASE (Selected Papers) 2013: 190-202 - [c1]Ioana Sora, Doru-Thom Popovici:
Extracting Behavioral Models from Service Implementations. ENASE 2013: 226-231
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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