Tze Meng Low

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 49

Top Topics

Benchmark Suite

Linkage Disequilibrium

Top Venues

IPDPS Workshops

Publications

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) (2024)
Yuttapichai Kerdcharoen, Upasana Sridhar, Tze Meng Low
Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines. HPEC (2023)
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 (2023)
Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz
SMaLL: A Software Framework for portable Machine Learning Libraries. CoRR (2023)
Nicholai Tukanov, Rajalakshmi Srinivasaraghavan, José E. Moreira, Tze Meng Low
Modeling Matrix Engines for Portability and Performance. IPDPS (2022)
Jay A. Acosta, Tze Meng Low, Devangi N. Parikh
Families of Butterfly Counting Algorithms for Bipartite Graphs. IPDPS Workshops (2022)
Upasana Sridhar, Tze Meng Low, Martin D. Schatz
Fusing Non Element-wise Layers in DNNs. HPEC (2021)
Mark P. Blanco, Scott McMillan, Tze Meng Low
Delayed Asynchronous Iterative Graph Algorithms. HPEC (2021)
Mark P. Blanco, Scott McMillan, Tze Meng Low
Delayed Asynchronous Iterative Graph Algorithms. CoRR (2021)
Mark P. Blanco, Tze Meng Low, Kyungjoo Kim
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. CoRR (2020)
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)
Mark P. Blanco, Scott McMillan, Tze Meng Low
Towards an Objective Metric for the Performance of Exact Triangle Count. HPEC (2020)
Mark P. Blanco, Scott McMillan, Tze Meng Low
Towards an Objective Metric for the Performance of Exact Triangle Count. CoRR (2020)
Charalampos Theodoris, Nikolaos Alachiotis, Tze Meng Low, Pavlos Pavlidis
qLD: High-performance Computation of Linkage Disequilibrium on CPU and GPU. BIBE (2020)
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Tim 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)
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) (2020)
Tze Meng Low, Daniele G. Spampinato, Scott McMillan, Michel Pelletier
Linear Algebraic Louvain Method in Python. IPDPS Workshops (2020)
Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low
A Flexible Framework for Multidimensional DFTs. SIAM J. Sci. Comput. 42 (5) (2020)
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)
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)
Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. CoRR (2019)
Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low
A Flexible Framework for Parallel Multi-Dimensional DFTs. CoRR (2019)
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)
Elliott Binder, Tze Meng Low, Doru-Thom Popovici
A Portable GPU Framework for SNP Comparisons. IPDPS Workshops (2019)
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 (2019)
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)
Daniele G. Spampinato, Upasana Sridhar, Tze Meng Low
Linear algebraic depth-first search. ARRAY@PLDI (2019)
Doru-Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low
Exploiting Symmetries of Small Prime-Sized DFTs. PPAM (1) (2019)
Jiyuan Zhang, Franz Franchetti, Tze Meng Low
High Performance Zero-Memory Overhead Direct Convolutions. ICML (2018)
Haewon Jeong, Tze Meng Low, Pulkit Grover
Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. Allerton (2018)
Jiyuan Zhang, Franz Franchetti, Tze Meng Low
High Performance Zero-Memory Overhead Direct Convolutions. CoRR (2018)
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)
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) (2018)
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 (2018)
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)
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)
Haewon Jeong, Tze Meng Low, Pulkit Grover
Coded FFT and Its Communication Overhead. CoRR (2018)
Doru-Thom Popovici, Tze Meng Low, Franz Franchetti
Large Bandwidth-Efficient FFTs on Multicore and Multi-socket Systems. IPDPS (2018)
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)
Doru-Thom Popovici, Franz Franchetti, Tze Meng Low
Mixed data layout kernels for vectorized complex arithmetic. HPEC (2017)
Matthew Lee, Tze Meng Low
A Family of Provably Correct Algorithms for Exact Triangle Counting. CORRECTNESS@SC (2017)
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)
Tze Meng Low, Franz Franchetti
High Assurance Code Generation for Cyber-Physical Systems. HASE (2017)
Nikolaos Alachiotis, Doru-Thom Popovici, Tze Meng Low
Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations. IPDPS Workshops (2016)
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) (2016)
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 (2016)
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) (2016)
Richard Veras, Tze Meng Low, Franz Franchetti
A scale-free structure for power-law graphs. HPEC (2016)
Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti
Compilers, hands-off my hands-on optimizations. WPMVP@PPoPP (2016)
Tze Meng Low, Qi Guo, Franz Franchetti
Optimizing Space Time Adaptive Processing through accelerating memory-bounded operations. HPEC (2015)
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)
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)
Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
Exploiting Symmetry in Tensors for High Performance CoRR (2013)
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) (2008)
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) (2006)
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)