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Publication search results
found 90 matches
- 2019
- Martin Bauer, Johannes Hötzer, Dominik Ernst, Julian Hammer, Marco Seiz, Henrik Hierl, Jan Hönig, Harald Köstler, Gerhard Wellein, Britta Nestler, Ulrich Rüde:
Code generation for massively parallel phase-field simulations. SC 2019: 59:1-59:32 - Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield:
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC 2019: 86:1-86:23 - Wei Zhang, Suren Byna, Houjun Tang, Brody Williams, Yong Chen:
MIQS: metadata indexing and querying service for self-describing file formats. SC 2019: 5:1-5:24 - Jacob Alter, Ji Xue, Alma Dimnaku, Evgenia Smirni:
SSD failures in the field: symptoms, causes, and prediction models. SC 2019: 75:1-75:14 - Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens:
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. SC 2019: 37:1-37:33 - Michael Bauer, Michael Garland:
Legate NumPy: accelerated and distributed array computing. SC 2019: 23:1-23:23 - Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood:
Etalumis: bringing probabilistic programming to scientific simulators at scale. SC 2019: 29:1-29:24 - Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler:
Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. SC 2019: 81:1-81:14 - Anne Benoit, Thomas Hérault, Valentin Le Fèvre, Yves Robert:
Replication is more efficient than you think. SC 2019: 89:1-89:14 - Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler:
Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. SC 2019: 35:1-35:25 - Abhinav Bhatele, Stephanie Brink, Todd Gamblin:
Hatchet: pruning the overgrowth in parallel profiles. SC 2019: 20:1-20:21 - Chun-Kai Chang, Wenqi Yin, Mattan Erez:
Assessing the impact of timing errors on HPC applications. SC 2019: 70:1-70:19 - Chao Chen, Greg Eisenhauer, Santosh Pande, Qiang Guan:
CARE: compiler-assisted recovery from soft failures. SC 2019: 58:1-58:23 - Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
BinFI: an efficient fault injector for safety-critical machine learning systems. SC 2019: 69:1-69:23 - Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
A versatile software systolic execution model for GPU memory-bound kernels. SC 2019: 53:1-53:81 - Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
iFDK: a scalable framework for instant high-resolution image reconstruction. SC 2019: 84:1-84:24 - Sudheer Chunduri, Taylor L. Groves, Peter Mendygral, Brian Austin, Jacob Balma, Krishna Kandalla, Kalyan Kumaran, Glenn K. Lockwood, Scott Parker, Steven Warren, Nathan Wichmann, Nicholas J. Wright:
GPCNeT: designing a benchmark suite for inducing and measuring contention in HPC networks. SC 2019: 42:1-42:33 - Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From piz daint to the stars: simulation of stellar mergers using high-level abstractions. SC 2019: 62:1-62:37 - Sambit Das, Phani Motamarri, Vikram Gavini, Bruno Turcksin, Ying Wai Li, Brent Leback:
Fast, scalable and accurate finite-element based ab initio calculations using mixed precision computing: 46 PFLOPS simulation of a metallic dislocation system. SC 2019: 2:1-2:11 - Jens Domke, Satoshi Matsuoka, Ivan R. Ivanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura, Shin'ichi Miura, Nic McDonald, Dennis Lee Floyd, Nicolas Dubé:
HyperX topology: first at-scale implementation and comparison to the fat-tree. SC 2019: 40:1-40:23 - Wenqian Dong, Jie Liu, Zhen Xie, Dong Li:
Adaptive neural network-based approximation to accelerate eulerian fluid simulation. SC 2019: 7:1-7:22 - Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, Brian Van Essen:
Channel and filter parallelism for large-scale CNN training. SC 2019: 10:1-10:20 - Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Addressing data resiliency for staging based scientific workflows. SC 2019: 87:1-87:22 - Athena Elafrou, Georgios I. Goumas, Nectarios Koziris:
Conflict-free symmetric sparse matrix-vector multiplication on multicore architectures. SC 2019: 48:1-48:15 - Patrick Flick, Srinivas Aluru:
Distributed enhanced suffix arrays: efficient algorithms for construction and querying. SC 2019: 72:1-72:17 - Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor:
Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC 2019: 55:1-55:17 - Mark Gates, Jakub Kurzak, Ali Charara, Asim YarKhan, Jack J. Dongarra:
SLATE: design of a modern distributed and accelerated linear algebra library. SC 2019: 26:1-26:18 - Neha Gholkar, Frank Mueller, Barry Rountree:
Uncore power scavenger: a runtime for uncore power conservation on HPC systems. SC 2019: 27:1-27:23 - Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler:
Network-accelerated non-contiguous memory transfers. SC 2019: 56:1-56:14 - Nikhil Hegde, Qifan Chang, Milind Kulkarni:
D2P: from recursive formulations to distributed-memory codes. SC 2019: 22:1-22:22
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