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Productivity, Portability, Performance: Data-Centric Python

1 July 2021

Papers citing "Productivity, Portability, Performance: Data-Centric Python"

31 / 31 papers shown

Title
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 124 0 0 03 Jan 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 92 5 0 31 Dec 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 70 1 0 29 Apr 2024
A shared compilation stack for distributed-memory parallelism in stencil DSLs George Bisbas Anton Lydike Emilien Bauer Nick M. Brown Mathieu Fehr ... Gabriel Rodriguez-Canal Maurice Jamieson Paul H. J. Kelly Michel Steuwer Tobias Grosser 121 4 0 02 Apr 2024
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 154 14 0 15 Oct 2023
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang Nick M. Brown Maurice Jamieson Anton Lydike Emilien Bauer Tobias Grosser LRM AI4CE 125 2 0 03 Oct 2023
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs Gabriel Rodriguez-Canal Nick M. Brown Timothy Dykes Jessica R. Jones U. Haus 77 5 0 25 Aug 2023
Bridging Control-Centric and Data-Centric Optimization Tal Ben-Nun Berke Ates A. Calotoiu Torsten Hoefler 99 7 0 01 Jun 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 92 30 0 19 May 2023
Myths and Legends in High-Performance Computing Satoshi Matsuoka Jens Domke Mohamed Wahib Aleksandr Drozd Torsten Hoefler 103 14 0 06 Jan 2023
Python FPGA Programming with Data-Centric Multi-Level Design Johannes de Fine Licht T. De Matteis Tal Ben-Nun Andreas Kuster Oliver Rausch Manuel Burger Carl-Johannes Johnsen Torsten Hoefler 102 1 0 28 Dec 2022
Deinsum: Practically I/O Optimal Multilinear Algebra A. Ziogas Grzegorz Kwa'sniewski Tal Ben-Nun Timo Schneider Torsten Hoefler 96 5 0 16 Jun 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 62 17 0 09 May 2022
Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py Zane Fink Simeng Liu Jaemin Choi M. Diener L. Kalé ELM 74 2 0 08 Nov 2021
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it Viswanath Ganapathy Sauptik Dhar Olimpiya Saha Pelin Kurt Garberson Javad Heydari Mohak Shah 87 1 0 11 Oct 2021
Distributed Deep Learning Using Volunteer Computing-Like Paradigm Medha Atre B. Jha Ashwini Rao 91 11 0 16 Mar 2021
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues A. Alam I. Ullah Young-Koo Lee 72 25 0 16 Nov 2020
Video Big Data Analytics in the Cloud: Research Issues and Challenges A. Alam S. Khalid Muhammad Numan Khan Tariq Habib Afridi I. Ullah Young-Koo Lee 114 1 0 05 Nov 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications Bita Hasheminezhad S. Shirzad Nanmiao Wu Patrick Diehl Hannes Schulz Hartmut Kaiser GNN AI4CE 96 4 0 06 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 206 80 0 17 Sep 2020
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction Minchul Shin 104 12 0 14 Jul 2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching Junyi Gao Cao Xiao Lucas Glass Jimeng Sun 68 70 0 15 Jun 2020
TNT-KID: Transformer-based Neural Tagger for Keyword Identification Matej Martinc Blaž Škrlj Senja Pollak 104 38 0 20 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 91 47 0 05 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 649 958 0 02 Mar 2020
Toward automatic comparison of visualization techniques: Application to graph visualization L. Giovannangeli Romain Bourqui R. Giot D. Auber GNN 106 25 0 21 Oct 2019
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics M. Migliorini R. Castellotti L. Canali M. Zanetti 87 7 0 23 Sep 2019
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning Shihao Ge Haruna Isah F. Zulkernine Shahzad Khan 91 14 0 15 Jul 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 171 348 0 30 May 2019
Democratizing Production-Scale Distributed Deep Learning Minghuang Ma Hadi Pouransari Daniel Chao Saurabh N. Adya S. Serrano Yi Qin Dan Gimnicher Dominic Walsh MoE 114 6 0 31 Oct 2018
Gear Training: A new way to implement high-performance model-parallel training Hao Dong Shuai Li D. Xu Yi Ren Di Zhang 102 1 0 11 Jun 2018