Tze Meng Low - RankMe

64 papers A* 3A 4B 3C 2Journal 23Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Architecture-Aware Models of AI Engines for High-Performance Matrix Matrix Multiplication. ICPP Elliott D. Binder, Jeffrey Low, Tze Meng Low
2025	A	`conf`	FATHOM: Fast Attention Through Optimizing Memory. IPDPS Elliott Binder, Arvind Sudarsanam, Ravi Sunkavalli, Tze Meng Low
2025	—	`conf`	Gen-AI in a Bottle: Experiments with LLMs to Generate HPC Kernels. IPDPS (Workshops) Upasana Sridhar, Elliott Binder, Tze Meng Low
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2024	—	`conf`	Linear Algebra Approach for Directed Triad Counting and Enumeration. SC Workshops Yuttapichai Kerdcharoen, Upasana Sridhar, Orathai Sangpetch, Tze Meng Low
2024	J	`jnl`	SMaLL: Software for Rapidly Instantiating Machine Learning Libraries. ACM Trans. Embed. Comput. Syst. Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz
2023	—	`conf`	Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines. HPEC Yuttapichai Kerdcharoen, Upasana Sridhar, Tze Meng Low
2023	J	`jnl`	Reformulating the direct convolution for high-performance deep learning inference on ARM processors. J. Syst. Archit. Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás
2023	J	`jnl`	SMaLL: A Software Framework for portable Machine Learning Libraries. CoRR Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz
2022	—	`ed.`	ARRAY '22: 8th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, San Diego CA USA, 13 June 2022 ARRAY@PLDI Troels Henriksen, Tze Meng Low
2022	—	`conf`	Families of Butterfly Counting Algorithms for Bipartite Graphs. IPDPS Workshops Jay A. Acosta, Tze Meng Low, Devangi N. Parikh
2022	A	`conf`	Modeling Matrix Engines for Portability and Performance. IPDPS Nicholai Tukanov, Rajalakshmi Srinivasaraghavan, José E. Moreira, Tze Meng Low
2021	—	`ed.`	ARRAY 2021: Proceedings of the 7th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, Virtual Event, Canada, 21 June, 2021 ARRAY@PLDI Tze Meng Low, Jeremy Gibbons
2021	—	`conf`	Delayed Asynchronous Iterative Graph Algorithms. HPEC Mark P. Blanco, Scott McMillan, Tze Meng Low
2021	J	`jnl`	Delayed Asynchronous Iterative Graph Algorithms. CoRR Mark P. Blanco, Scott McMillan, Tze Meng Low
2021	—	`conf`	Fusing Non Element-wise Layers in DNNs. HPEC Upasana Sridhar, Tze Meng Low, Martin D. Schatz
2020	—	`conf`	3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. Euro-Par Haewon Jeong, Yaoqing Yang, Vipul Gupta, Christian Engelmann, Tze Meng Low, Viveck R. Cadambe, Kannan Ramchandran, Pulkit Grover
2020	J	`jnl`	A Flexible Framework for Multidimensional DFTs. SIAM J. Sci. Comput. Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low
2020	J	`jnl`	Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. Proc. IEEE Sanghamitra Dutta, Haewon Jeong, Yaoqing Yang, Viveck R. Cadambe, Tze Meng Low, Pulkit Grover
2020	—	`conf`	Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC 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
2020	J	`jnl`	Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. CoRR Mark P. Blanco, Tze Meng Low, Kyungjoo Kim
2020	—	`conf`	Linear Algebraic Louvain Method in Python. IPDPS Workshops Tze Meng Low, Daniele G. Spampinato, Scott McMillan, Michel Pelletier
2020	—	`conf`	Towards an Objective Metric for the Performance of Exact Triangle Count. HPEC Mark P. Blanco, Scott McMillan, Tze Meng Low
2020	J	`jnl`	Towards an Objective Metric for the Performance of Exact Triangle Count. CoRR Mark P. Blanco, Scott McMillan, Tze Meng Low
2020	C	`conf`	qLD: High-performance Computation of Linkage Disequilibrium on CPU and GPU. BIBE Charalampos Theodoris, Nikolaos Alachiotis, Tze Meng Low, Pavlos Pavlidis
2019	J	`jnl`	A Flexible Framework for Parallel Multi-Dimensional DFTs. CoRR Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low
2019	—	`conf`	A Portable GPU Framework for SNP Comparisons. IPDPS Workshops Elliott Binder, Tze Meng Low, Doru-Thom Popovici
2019	A	`conf`	Analytical cache modeling and tilesize optimization for tensor contractions. SC Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan
2019	J	`jnl`	CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. CoRR Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
2019	—	`conf`	Delta-Stepping SSSP: From Vertices and Edges to GraphBLAS Implementations. IPDPS Workshops Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan
2019	J	`jnl`	Delta-stepping SSSP: from Vertices and Edges to GraphBLAS Implementations. CoRR Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan
2019	A*	`conf`	Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization. MICRO Fazle Sadi, Joe Sweeney, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti
2019	—	`conf`	Exploiting Symmetries of Small Prime-Sized DFTs. PPAM (1) Doru-Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low
2019	—	`conf`	Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. HPEC Mark P. Blanco, Tze Meng Low, Kyungjoo Kim
2019	—	`conf`	Linear algebraic depth-first search. ARRAY@PLDI Daniele G. Spampinato, Upasana Sridhar, Tze Meng Low
2018	J	`jnl`	A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication. CoRR Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
2018	B	`conf`	A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes. ISIT Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
2018	J	`jnl`	Coded FFT and Its Communication Overhead. CoRR Haewon Jeong, Tze Meng Low, Pulkit Grover
2018	—	`conf`	FFTX and SpectralPack: A First Look. HiPC Workshops 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
2018	A*	`conf`	High Performance Zero-Memory Overhead Direct Convolutions. ICML Jiyuan Zhang, Franz Franchetti, Tze Meng Low
2018	J	`jnl`	High Performance Zero-Memory Overhead Direct Convolutions. CoRR Jiyuan Zhang, Franz Franchetti, Tze Meng Low
2018	A	`conf`	Large Bandwidth-Efficient FFTs on Multicore and Multi-socket Systems. IPDPS Doru-Thom Popovici, Tze Meng Low, Franz Franchetti
2018	—	`conf`	Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices. HPEC Tze Meng Low, Daniele G. Spampinato, Anurag Kutuluru, Upasana Sridhar, Doru-Thom Popovici, Franz Franchetti, Scott McMillan
2018	—	`conf`	Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. Allerton Haewon Jeong, Tze Meng Low, Pulkit Grover
2018	—	`conf`	PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV. HPEC Fazle Sadi, Joe Sweeney, Scott McMillan, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti
2018	J	`jnl`	SPIRAL: Extreme Performance Portability. Proc. IEEE 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
2017	—	`conf`	A Family of Provably Correct Algorithms for Exact Triangle Counting. CORRECTNESS@SC Matthew Lee, Tze Meng Low
2017	—	`conf`	First look: Linear algebra-based triangle counting without matrix multiplication. HPEC Tze Meng Low, Varun Nagaraj Rao, Matthew Lee, Doru-Thom Popovici, Franz Franchetti, Scott McMillan
2017	—	`conf`	High Assurance Code Generation for Cyber-Physical Systems. HASE Tze Meng Low, Franz Franchetti
2017	—	`conf`	Mixed data layout kernels for vectorized complex arithmetic. HPEC Doru-Thom Popovici, Franz Franchetti, Tze Meng Low
2016	—	`conf`	A scale-free structure for power-law graphs. HPEC Richard Veras, Tze Meng Low, Franz Franchetti
2016	J	`jnl`	Analytical Modeling Is Enough for High-Performance BLIS. ACM Trans. Math. Softw. Tze Meng Low, Francisco D. Igual, Tyler M. Smith, Enrique S. Quintana-Ortí
2016	J	`jnl`	Automating the Last-Mile for High Performance Dense Linear Algebra. CoRR Richard Michael Veras, Tze Meng Low, Tyler Michael Smith, Robert A. van de Geijn, Franz Franchetti
2016	—	`conf`	Compilers, hands-off my hands-on optimizations. WPMVP@PPoPP Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti
2016	—	`conf`	Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations. IPDPS Workshops Nikolaos Alachiotis, Doru-Thom Popovici, Tze Meng Low
2016	J	`jnl`	The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. 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
2015	A*	`conf`	Enabling portable energy efficiency with memory accelerated library. MICRO Qi Guo, Tze Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry T. Pileggi, James C. Hoe, Franz Franchetti
2015	—	`conf`	Optimizing Space Time Adaptive Processing through accelerating memory-bounded operations. HPEC Tze Meng Low, Qi Guo, Franz Franchetti
2014	J	`jnl`	Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
2013	J	`jnl`	Exploiting Symmetry in Tensors for High Performance CoRR Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
2008	J	`jnl`	Scalable parallelization of FLAME code via the workqueuing model. ACM Trans. Math. Softw. Field G. Van Zee, Paolo Bientinesi, Tze Meng Low, Robert A. van de Geijn
2006	J	`jnl`	Accumulating Householder transformations, revisited. ACM Trans. Math. Softw. Thierry Joffrain, Tze Meng Low, Enrique S. Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee
2005	B	`conf`	Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications. PPoPP Tze Meng Low, Robert A. van de Geijn, Field G. Van Zee