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ORCIDTze Meng Low
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[j10]Upasana Sridhar
, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: Software for Rapidly Instantiating Machine Learning Libraries. ACM Trans. Embed. Comput. Syst. 23(3): 46:1-46:25 (2024)- 2023
- [j9]Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás:
Reformulating the direct convolution for high-performance deep learning inference on ARM processors. J. Syst. Archit. 135: 102806 (2023) - [c34]Yuttapichai Kerdcharoen, Upasana Sridhar, Tze Meng Low:
Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines. HPEC 2023: 1-7 - [i12]Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: A Software Framework for portable Machine Learning Libraries. CoRR abs/2303.04769 (2023) - 2022
- [c33]Jay A. Acosta, Tze Meng Low, Devangi N. Parikh:
Families of Butterfly Counting Algorithms for Bipartite Graphs. IPDPS Workshops 2022: 304-313 - [c32]Nicholai Tukanov, Rajalakshmi Srinivasaraghavan, José E. Moreira, Tze Meng Low:
Modeling Matrix Engines for Portability and Performance. IPDPS 2022: 1173-1183 - [e2]Troels Henriksen, Tze Meng Low:
ARRAY '22: 8th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, San Diego CA USA, 13 June 2022. ACM 2022, ISBN 978-1-4503-9269-3 [contents] - 2021
- [c31]Mark P. Blanco, Scott McMillan, Tze Meng Low:
Delayed Asynchronous Iterative Graph Algorithms. HPEC 2021: 1-7 - [c30]Upasana Sridhar, Tze Meng Low, Martin D. Schatz:
Fusing Non Element-wise Layers in DNNs. HPEC 2021: 1-2 - [e1]Tze Meng Low, Jeremy Gibbons:
ARRAY 2021: Proceedings of the 7th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, Virtual Event, Canada, 21 June, 2021. ACM 2021, ISBN 978-1-4503-8466-7 [contents] - [i11]Mark P. Blanco, Scott McMillan, Tze Meng Low:
Delayed Asynchronous Iterative Graph Algorithms. CoRR abs/2110.01409 (2021) - 2020
- [j8]Sanghamitra Dutta, Haewon Jeong, Yaoqing Yang, Viveck R. Cadambe, Tze Meng Low, Pulkit Grover:
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. Proc. IEEE 108(8): 1219-1234 (2020) - [j7]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) - [c29]Charalampos Theodoris, Nikolaos Alachiotis, Tze Meng Low, Pavlos Pavlidis:
qLD: High-performance Computation of Linkage Disequilibrium on CPU and GPU. BIBE 2020: 65-72 - [c28]Haewon Jeong, Yaoqing Yang, Vipul Gupta, Christian Engelmann, Tze Meng Low, Viveck R. Cadambe, Kannan Ramchandran, Pulkit Grover:
3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. Euro-Par 2020: 392-407 - [c27]Mark P. Blanco, Scott McMillan, Tze Meng Low:
Towards an Objective Metric for the Performance of Exact Triangle Count. HPEC 2020: 1-7 - [c26]Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang:
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC 2020: 216-227 - [c25]Tze Meng Low, Daniele G. Spampinato, Scott McMillan, Michel Pelletier:
Linear Algebraic Louvain Method in Python. IPDPS Workshops 2020: 223-226 - [i10]Mark P. Blanco, Tze Meng Low, Kyungjoo Kim:
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. CoRR abs/2009.07929 (2020) - [i9]Mark P. Blanco, Scott McMillan, Tze Meng Low:
Towards an Objective Metric for the Performance of Exact Triangle Count. CoRR abs/2009.07935 (2020)
2010 – 2019
- 2019
- [c24]Mark P. Blanco, Tze Meng Low, Kyungjoo Kim:
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. HPEC 2019: 1-7 - [c23]Elliott Binder, Tze Meng Low, Doru-Thom Popovici:
A Portable GPU Framework for SNP Comparisons. IPDPS Workshops 2019: 199-208 - [c22]Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan:
Delta-Stepping SSSP: From Vertices and Edges to GraphBLAS Implementations. IPDPS Workshops 2019: 241-250 - [c21]Fazle Sadi, Joe Sweeney, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti:
Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization. MICRO 2019: 347-358 - [c20]Daniele G. Spampinato, Upasana Sridhar, Tze Meng Low:
Linear algebraic depth-first search. ARRAY@PLDI 2019: 93-104 - [c19]Doru-Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low:
Exploiting Symmetries of Small Prime-Sized DFTs. PPAM (1) 2019: 162-173 - [c18]Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan:
Analytical cache modeling and tilesize optimization for tensor contractions. SC 2019: 74:1-74:13 - [i8]Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover:
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. CoRR abs/1903.01042 (2019) - [i7]Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Parallel Multi-Dimensional DFTs. CoRR abs/1904.10119 (2019) - [i6]Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan:
Delta-stepping SSSP: from Vertices and Edges to GraphBLAS Implementations. CoRR abs/1911.06895 (2019) - 2018
- [j6]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) - [c17]Haewon Jeong, Tze Meng Low, Pulkit Grover:
Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. Allerton 2018: 887-894 - [c16]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 - [c15]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 - [c14]Fazle Sadi, Joe Sweeney, Scott McMillan, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti:
PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV. HPEC 2018: 1-7 - [c13]Jiyuan Zhang, Franz Franchetti, Tze Meng Low:
High Performance Zero-Memory Overhead Direct Convolutions. ICML 2018: 5771-5780 - [c12]Doru-Thom Popovici, Tze Meng Low, Franz Franchetti:
Large Bandwidth-Efficient FFTs on Multicore and Multi-socket Systems. IPDPS 2018: 379-388 - [c11]Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover:
A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes. ISIT 2018: 1585-1589 - [i5]Haewon Jeong, Tze Meng Low, Pulkit Grover:
Coded FFT and Its Communication Overhead. CoRR abs/1805.09891 (2018) - [i4]Jiyuan Zhang, Franz Franchetti, Tze Meng Low:
High Performance Zero-Memory Overhead Direct Convolutions. CoRR abs/1809.10170 (2018) - [i3]Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover:
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication. CoRR abs/1811.10751 (2018) - 2017
- [c10]Tze Meng Low, Franz Franchetti:
High Assurance Code Generation for Cyber-Physical Systems. HASE 2017: 104-111 - [c9]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 - [c8]Doru-Thom Popovici, Franz Franchetti, Tze Meng Low:
Mixed data layout kernels for vectorized complex arithmetic. HPEC 2017: 1-7 - [c7]Matthew Lee, Tze Meng Low:
A Family of Provably Correct Algorithms for Exact Triangle Counting. CORRECTNESS@SC 2017: 14-20 - 2016
- [j5]Field G. Van Zee, Tyler M. Smith, Bryan Marker, Tze Meng Low, Robert A. van de Geijn, Francisco D. Igual, Mikhail Smelyanskiy, Xianyi Zhang, Michael Kistler, Vernon Austel, John A. Gunnels, Lee Killough:
The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. 42(2): 12:1-12:19 (2016) - [j4]Tze Meng Low, Francisco D. Igual, Tyler M. Smith, Enrique S. Quintana-Ortí:
Analytical Modeling Is Enough for High-Performance BLIS. ACM Trans. Math. Softw. 43(2): 12:1-12:18 (2016) - [c6]Richard Veras, Tze Meng Low, Franz Franchetti:
A scale-free structure for power-law graphs. HPEC 2016: 1-7 - [c5]Nikolaos Alachiotis, Doru-Thom Popovici, Tze Meng Low:
Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations. IPDPS Workshops 2016: 418-427 - [c4]Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti:
Compilers, hands-off my hands-on optimizations. WPMVP@PPoPP 2016: 4:1-4:8 - [i2]Richard Michael Veras, Tze Meng Low, Tyler Michael Smith, Robert A. van de Geijn, Franz Franchetti:
Automating the Last-Mile for High Performance Dense Linear Algebra. CoRR abs/1611.08035 (2016) - 2015
- [c3]Tze Meng Low, Qi Guo, Franz Franchetti:
Optimizing Space Time Adaptive Processing through accelerating memory-bounded operations. HPEC 2015: 1-6 - [c2]Qi Guo, Tze Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry T. Pileggi, James C. Hoe, Franz Franchetti:
Enabling portable energy efficiency with memory accelerated library. MICRO 2015: 750-761 - 2014
- [j3]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. 36(5) (2014) - 2013
- [i1]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance. CoRR abs/1301.7744 (2013)
2000 – 2009
- 2008
- [j2]Field G. Van Zee, Paolo Bientinesi, Tze Meng Low, Robert A. van de Geijn:
Scalable parallelization of FLAME code via the workqueuing model. ACM Trans. Math. Softw. 34(2): 10:1-10:29 (2008) - 2006
- [j1]Thierry Joffrain, Tze Meng Low, Enrique S. Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee:
Accumulating Householder transformations, revisited. ACM Trans. Math. Softw. 32(2): 169-179 (2006) - 2005
- [c1]Tze Meng Low, Robert A. van de Geijn, Field G. Van Zee:
Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications. PPoPP 2005: 153-163
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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