A generic low power scan chain wrapper for designs using scan compression. - Amit Sabne; Rajesh Tiwari; Abhijeet Shrivastava; Srivaths Ravi 001; Rubin A. Parekhji (VTS, 2010)

SALSA: systematic logic synthesis of approximate circuits. - Swagath Venkataramani; Amit Sabne; Vivek Joy Kozhikkottu; Kaushik Roy 001; Anand Raghunathan (DAC, 2012)

Effects of Compiler Optimizations in OpenMP to CUDA Translation. - Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann (IWOMP, 2012)

Scaling large-data computations on multi-GPU accelerators. - Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann (ICS, 2013)

Evaluating Performance Portability of OpenACC. - Amit Sabne; Putt Sakdhnagool; Seyong Lee; Jeffrey S. Vetter (LCPC, 2014)

HeteroDoop: A MapReduce Programming System for Accelerator Clusters. - Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann (HPDC, 2015)

HYDRA : Extending Shared Address Programming for Accelerator Clusters. - Putt Sakdhnagool; Amit Sabne; Rudolf Eigenmann (LCPC, 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)

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 (PACT, 2016)

Formalizing Structured Control Flow Graphs. - Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann (LCPC, 2016)

High performance model based image reconstruction. - Xiao Wang 004; Amit Sabne; Sherman J. Kisner; Anand Raghunathan; Charles A. Bouman; Samuel P. Midkiff (PPoPP, 2016)

Programming models, compilers, and runtime systems for accelerator computing - Amit Sabne (2016)

Model-based Iterative CT Image Reconstruction on GPUs. - Amit Sabne; Xiao Wang 004; Sherman J. Kisner; Charles A. Bouman; Anand Raghunathan; Samuel P. Midkiff (PPoPP, 2017)

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks. - Tsung Tai Yeh; Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann; Timothy G. Rogers (PPoPP, 2017)

Massively parallel 3D image reconstruction. - Xiao Wang 004; Amit Sabne; Putt Sakdhnagool; Sherman J. Kisner; Charles A. Bouman; Samuel P. Midkiff (SC, 2017)

Optimizing GPU programs by register demotion: poster. - Putt Sakdhnagool; Amit Sabne; Rudolf Eigenmann (PPoPP, 2019)

Comparative analysis of coprocessors. - Putt Sakdhnagool; Amit Sabne; Rudolf Eigenmann (Concurr. Comput. Pract. Exp., 2019)

RegDem: Increasing GPU Performance via Shared Memory Register Spilling. - Putt Sakdhnagool; Amit Sabne; Rudolf Eigenmann (CoRR, 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)

Fast distributed bandits for online recommendation systems. - Kanak Mahadik; Qingyun Wu; Shuai Li 011; Amit Sabne (ICS, 2020)

Fast Distributed Bandits for Online Recommendation Systems. - Kanak Mahadik; Qingyun Wu; Shuai Li; Amit Sabne (CoRR, 2020)

Logic Synthesis of Approximate Circuits. - Swagath Venkataramani; Vivek Joy Kozhikkottu; Amit Sabne; Kaushik Roy 001; Anand Raghunathan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

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 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

A Learned Performance Model for Tensor Processing Units. - Samuel J. Kaufman; Phitchaya Mangpo Phothilimthana; Yanqi Zhou; Charith Mendis; Sudip Roy 002; Amit Sabne; Mike Burrows (MLSys, 2021)

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; et al. (ASPLOS (1), 2023)

TensorRight: Automated Verification of Tensor Graph Rewrites. - Jai Arora; Sirui Lu; Devansh Jain 001; Tianfan Xu; Farzin Houshmand; Phitchaya Mangpo Phothilimthana; Mohsen Lesani; Praveen Narayanan; Karthik Srinivasa Murthy; Rastislav Bodík; Amit Sabne; Charith Mendis (Proc. ACM Program. Lang., 2025)