Tze Meng Low

According to our database, Tze Meng Low authored at least 50 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reformulating the direct convolution for high-performance deep learning inference on ARM processors.

Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás

J. Syst. Archit., February, 2023

SMaLL: A Software Framework for portable Machine Learning Libraries.

Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz

CoRR, 2023

Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines.

Yuttapichai Kerdcharoen, Upasana Sridhar, Tze Meng Low

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Modeling Matrix Engines for Portability and Performance.

Nicholai Tukanov, Rajalakshmi Srinivasaraghavan, José E. Moreira, Tze Meng Low

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Families of Butterfly Counting Algorithms for Bipartite Graphs.

Jay A. Acosta, Tze Meng Low, Devangi N. Parikh

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Fusing Non Element-wise Layers in DNNs.

Upasana Sridhar, Tze Meng Low, Martin D. Schatz

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Delayed Asynchronous Iterative Graph Algorithms.

Mark P. Blanco, Scott McMillan, Tze Meng Low

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

A Flexible Framework for Multidimensional DFTs.

Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low

SIAM J. Sci. Comput., 2020

Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing.

Sanghamitra Dutta, Haewon Jeong, Yaoqing Yang, Viveck R. Cadambe, Tze Meng Low, Pulkit Grover

Proc. IEEE, 2020

Linear Algebraic Louvain Method in Python.

Tze Meng Low, Daniele G. Spampinato, Scott McMillan, Michel Pelletier

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.

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

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

Towards an Objective Metric for the Performance of Exact Triangle Count.

Mark P. Blanco, Scott McMillan, Tze Meng Low

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication.

Haewon Jeong, Yaoqing Yang, Vipul Gupta, Christian Engelmann, Tze Meng Low, Viveck R. Cadambe, Kannan Ramchandran, Pulkit Grover

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

qLD: High-performance Computation of Linkage Disequilibrium on CPU and GPU.

Charalampos Theodoris, Nikolaos Alachiotis, Tze Meng Low, Pavlos Pavlidis

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

A Flexible Framework for Parallel Multi-Dimensional DFTs.

Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low

CoRR, 2019

CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors.

Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover

CoRR, 2019

Analytical cache modeling and tilesize optimization for tensor contractions.

Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan

Proceedings of the International Conference for High Performance Computing, 2019

Exploiting Symmetries of Small Prime-Sized DFTs.

Doru-Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Linear algebraic depth-first search.

Daniele G. Spampinato, Upasana Sridhar, Tze Meng Low

Proceedings of the 6th ACM SIGPLAN International Workshop on Libraries, 2019

Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization.

Fazle Sadi, Joe Sweeney, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Delta-Stepping SSSP: From Vertices and Edges to GraphBLAS Implementations.

Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

A Portable GPU Framework for SNP Comparisons.

Elliott Binder, Tze Meng Low, Doru-Thom Popovici

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU.

Mark P. Blanco, Tze Meng Low, Kyungjoo Kim

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

SPIRAL: Extreme Performance Portability.

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

Proc. IEEE, 2018

A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication.

Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover

CoRR, 2018

Coded FFT and Its Communication Overhead.

Haewon Jeong, Tze Meng Low, Pulkit Grover

CoRR, 2018

A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes.

Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Large Bandwidth-Efficient FFTs on Multicore and Multi-socket Systems.

Doru-Thom Popovici, Tze Meng Low, Franz Franchetti

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

High Performance Zero-Memory Overhead Direct Convolutions.

Jiyuan Zhang, Franz Franchetti, Tze Meng Low

Proceedings of the 35th International Conference on Machine Learning, 2018

PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV.

Fazle Sadi, Joe Sweeney, Scott McMillan, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices.

Tze Meng Low, Daniele G. Spampinato, Anurag Kutuluru, Upasana Sridhar, Doru-Thom Popovici, Franz Franchetti, Scott McMillan

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

FFTX and SpectralPack: A First Look.

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

Proceedings of the 25th IEEE International Conference on High Performance Computing Workshops, 2018

Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm.

Haewon Jeong, Tze Meng Low, Pulkit Grover

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

A Family of Provably Correct Algorithms for Exact Triangle Counting.

Matthew Lee, Tze Meng Low

Proceedings of the First International Workshop on Software Correctness for HPC Applications, 2017

Mixed data layout kernels for vectorized complex arithmetic.

Doru-Thom Popovici, Franz Franchetti, Tze Meng Low

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

First look: Linear algebra-based triangle counting without matrix multiplication.

Tze Meng Low, Varun Nagaraj Rao, Matthew Lee, Doru-Thom Popovici, Franz Franchetti, Scott McMillan

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

High Assurance Code Generation for Cyber-Physical Systems.

Tze Meng Low, Franz Franchetti

Proceedings of the 18th IEEE International Symposium on High Assurance Systems Engineering, 2017

2016

The BLIS Framework: Experiments in Portability.

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

ACM Trans. Math. Softw., 2016

Analytical Modeling Is Enough for High-Performance BLIS.

Tze Meng Low, Francisco D. Igual, Tyler M. Smith, Enrique S. Quintana-Ortí

ACM Trans. Math. Softw., 2016

Automating the Last-Mile for High Performance Dense Linear Algebra.

Richard Michael Veras, Tze Meng Low, Tyler Michael Smith, Robert A. van de Geijn, Franz Franchetti

CoRR, 2016

Compilers, hands-off my hands-on optimizations.

Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti

Proceedings of the 3rd Workshop on Programming Models for SIMD/Vector Processing, 2016

Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations.

Nikolaos Alachiotis, Doru-Thom Popovici, Tze Meng Low

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

A scale-free structure for power-law graphs.

Richard Veras, Tze Meng Low, Franz Franchetti

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2015

Enabling portable energy efficiency with memory accelerated library.

Qi Guo, Tze Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry T. Pileggi, James C. Hoe, Franz Franchetti

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Optimizing Space Time Adaptive Processing through accelerating memory-bounded operations.

Tze Meng Low, Qi Guo, Franz Franchetti

Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

2014

Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors.

Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda

SIAM J. Sci. Comput., 2014

2013

Exploiting Symmetry in Tensors for High Performance

Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda

CoRR, 2013

2008

Scalable parallelization of FLAME code via the workqueuing model.

Field G. Van Zee, Paolo Bientinesi, Tze Meng Low, Robert A. van de Geijn

ACM Trans. Math. Softw., 2008

2006

Accumulating Householder transformations, revisited.

Thierry Joffrain, Tze Meng Low, Enrique S. Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee

ACM Trans. Math. Softw., 2006

2005

Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications.

Tze Meng Low, Robert A. van de Geijn, Field G. Van Zee

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2005