Sara S. Baghsorkhi

According to our database, Sara S. Baghsorkhi authored at least 15 papers between 2007 and 2020.

Collaborative distances:

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

2020

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

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019

C3-Flow: Compute Compression Co-Design Flow for Deep Neural Networks.

Matthew Sotoudeh, Sara S. Baghsorkhi

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

DeepThin: A Self-Compressing Library for Deep Neural Networks.

Matthew Sotoudeh, Sara S. Baghsorkhi

CoRR, 2018

Automating efficient variable-grained resiliency for low-power IoT systems.

Sara S. Baghsorkhi, Christos Margiolas

Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

2016

FlexVec: auto-vectorization for irregular loops.

Sara S. Baghsorkhi, Nalini Vasudevan, Youfeng Wu

Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2016

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

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01737-7, 2012

Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors.

Sara S. Baghsorkhi, Isaac Gelado, Matthieu Delahaye, Wen-mei W. Hwu

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

2011

Efficient Performance Evaluation for Highly Multi-threaded Graphics Processors

Sara S. Baghsorkhi

PhD thesis, 2011

Auto-tuning of fast fourier transform on graphics processors.

Yuri Dotsenko, Sara S. Baghsorkhi, Brandon Lloyd, Naga K. Govindaraju

Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

2010

An adaptive performance modeling tool for GPU architectures.

Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. Patel, William D. Gropp, Wen-mei W. Hwu

Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

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

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

Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

CUDA-Lite: Reducing GPU Programming Complexity.

Sain-Zee Ueng, Melvin Lathara, Sara S. Baghsorkhi, Wen-mei W. Hwu

Proceedings of the Languages and Compilers for Parallel Computing, 2008

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

Proceedings of the Sixth International Symposium on Code Generation and Optimization (CGO 2008), 2008

2007

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, Matthew I. Frank, Sanjay J. Patel

Proceedings of the 44th Design Automation Conference, 2007