Amit Sabne

According to our database, Amit Sabne authored at least 25 papers between 2010 and 2023.

Collaborative distances:

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

2023

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.

Shibo Wang, Jinliang Wei, Amit Sabne, Andy Davis, Berkin Ilbeyi, Blake Hechtman, Dehao Chen, Karthik Srinivasa Murthy, Marcello Maggioni, Qiao Zhang, Sameer Kumar, Tongfei Guo, Yuanzhong Xu, Zongwei Zhou

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2021

A Learned Performance Model for Tensor Processing Units.

Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.

Phitchaya Mangpo Phothilimthana, Amit Sabne, Nikhil Sarda, Karthik Srinivasa Murthy, Yanqi Zhou, Christof Angermueller, Mike Burrows, Sudip Roy, Ketan Mandke, Rezsa Farahani, Yu Emma Wang, Berkin Ilbeyi, Blake A. Hechtman, Bjarke Roune, Shen Wang, Yuanzhong Xu, Samuel J. Kaufman

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

Logic Synthesis of Approximate Circuits.

Swagath Venkataramani, Vivek Joy Kozhikkottu, Amit Sabne, Kaushik Roy, Anand Raghunathan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Fast Distributed Bandits for Online Recommendation Systems.

Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne

CoRR, 2020

Fast distributed bandits for online recommendation systems.

Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

Pagoda: A GPU Runtime System for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

ACM Trans. Parallel Comput., 2019

RegDem: Increasing GPU Performance via Shared Memory Register Spilling.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

CoRR, 2019

Comparative analysis of coprocessors.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Concurr. Comput. Pract. Exp., 2019

Optimizing GPU programs by register demotion: poster.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

2017

Massively parallel 3D image reconstruction.

Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the International Conference for High Performance Computing, 2017

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

Model-based Iterative CT Image Reconstruction on GPUs.

Amit Sabne, Xiao Wang, Sherman J. Kisner, Charles A. Bouman, Anand Raghunathan, Samuel P. Midkiff

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016

Programming models, compilers, and runtime systems for accelerator computing

Amit Sabne

PhD thesis, 2016

High performance model based image reconstruction.

Xiao Wang, Amit Sabne, Sherman J. Kisner, Anand Raghunathan, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Formalizing Structured Control Flow Graphs.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the Languages and Compilers for Parallel Computing, 2016

POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited Parallelism.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Understanding Portability of a High-Level Programming Model on Contemporary Heterogeneous Architectures.

Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter

IEEE Micro, 2015

HYDRA : Extending Shared Address Programming for Accelerator Clusters.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Proceedings of the Languages and Compilers for Parallel Computing, 2015

HeteroDoop: A MapReduce Programming System for Accelerator Clusters.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Evaluating Performance Portability of OpenACC.

Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter

Proceedings of the Languages and Compilers for Parallel Computing, 2014

2013

Scaling large-data computations on multi-GPU accelerators.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the International Conference on Supercomputing, 2013

2012

Effects of Compiler Optimizations in OpenMP to CUDA Translation.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012

SALSA: systematic logic synthesis of approximate circuits.

Swagath Venkataramani, Amit Sabne, Vivek Joy Kozhikkottu, Kaushik Roy, Anand Raghunathan

Proceedings of the 49th Annual Design Automation Conference 2012, 2012

2010

A generic low power scan chain wrapper for designs using scan compression.

Amit Sabne, Rajesh Tiwari, Abhijeet Shrivastava, Srivaths Ravi, Rubin A. Parekhji

Proceedings of the 28th IEEE VLSI Test Symposium, 2010