Implicitly Parallel Programming Models for Thousand-Core Microprocessors. - Wen-mei W. Hwu; Shane Ryoo; Sain-Zee Ueng; John H. Kelm; Isaac Gelado; Sam S. Stone; Robert E. Kidd; Sara S. Baghsorkhi; Aqeel Mahesri; Stephanie C. Tsao; Nacho Navarro; Steven S. Lumetta; et al. (DAC, 2007)

Program optimization space pruning for a multithreaded gpu. - Shane Ryoo; Christopher I. Rodrigues; Sam S. Stone; Sara S. Baghsorkhi; Sain-Zee Ueng; John A. Stratton; Wen-mei W. Hwu (CGO, 2008)

CUDA-Lite: Reducing GPU Programming Complexity. - Sain-Zee Ueng; Melvin Lathara; Sara S. Baghsorkhi; Wen-mei W. Hwu (LCPC, 2008)

Optimization principles and application performance evaluation of a multithreaded GPU using CUDA. - Shane Ryoo; Christopher I. Rodrigues; Sara S. Baghsorkhi; Sam S. Stone; David Blair Kirk; Wen-mei W. Hwu (PPoPP, 2008)

Program optimization carving for GPU computing. - Shane Ryoo; Christopher I. Rodrigues; Sam S. Stone; John A. Stratton; Sain-Zee Ueng; Sara S. Baghsorkhi; Wen-mei W. Hwu (J. Parallel Distributed Comput., 2008)

An adaptive performance modeling tool for GPU architectures. - Sara S. Baghsorkhi; Matthieu Delahaye; Sanjay J. Patel; William D. Gropp; Wen-mei W. Hwu (PPoPP, 2010)

Auto-tuning of fast fourier transform on graphics processors. - Yuri Dotsenko; Sara S. Baghsorkhi; Brandon Lloyd; Naga K. Govindaraju (PPoPP, 2011)

Efficient Performance Evaluation for Highly Multi-threaded Graphics Processors - Sara S. Baghsorkhi (2011)

Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors. - Sara S. Baghsorkhi; Isaac Gelado; Matthieu Delahaye; Wen-mei W. Hwu (PPoPP, 2012)

Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) - Hyesoon Kim; Richard W. Vuduc; Sara S. Baghsorkhi; JeeWhan Choi; Wen-mei W. Hwu (Morgan & Claypool Publishers, 2012)

FlexVec: auto-vectorization for irregular loops. - Sara S. Baghsorkhi; Nalini Vasudevan; Youfeng Wu (PLDI, 2016)

Automating efficient variable-grained resiliency for low-power IoT systems. - Sara S. Baghsorkhi; Christos Margiolas (CGO, 2018)

DeepThin: A Self-Compressing Library for Deep Neural Networks. - Matthew Sotoudeh; Sara S. Baghsorkhi (CoRR, 2018)

C3-Flow: Compute Compression Co-Design Flow for Deep Neural Networks. - Matthew Sotoudeh; Sara S. Baghsorkhi (DAC, 2019)

SAVE: Sparsity-Aware Vector Engine for Accelerating DNN Training and Inference on CPUs. - Zhangxiaowen Gong; Houxiang Ji; Christopher W. Fletcher; Christopher J. Hughes; Sara S. Baghsorkhi; Josep Torrellas (MICRO, 2020)