Saman P. Amarasinghe

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 85

Top Venues

CoRR

CGO

Proc. ACM Program. Lang.

PLDI

Publications

Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe
Finch: Sparse and Structured Array Programming with Control Flow. CoRR (2024)
Katsumi Okuda, Saman P. Amarasinghe
AskIt: Unified Programming Interface for Programming with Large Language Models. CGO (2024)
Vladimir Gladshtein, Qiyuan Zhao, Willow Ahrens, Saman P. Amarasinghe, Ilya Sergey
Mechanised Hypersafety Proofs about Structured Data: Extended Version. CoRR (2024)
Jaeyeon Won, Willow Ahrens, Joel S. Emer, Saman P. Amarasinghe
The Continuous Tensor Abstraction: Where Indices are Real. CoRR (2024)
Ajay Brahmakshatriya, Martin C. Rinard, Manya Ghobadi, Saman P. Amarasinghe
NetBlocks: Staging Layouts for High-Performance Custom Host Network Stacks. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Vladimir Gladshtein, Qiyuan Zhao, Willow Ahrens, Saman P. Amarasinghe, Ilya Sergey
Mechanised Hypersafety Proofs about Structured Data. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Radha Patel, Willow Ahrens, Saman P. Amarasinghe
SySTeC: A Symmetric Sparse Tensor Compiler. CoRR (2024)
Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe
Looplets: A Language for Structured Coiteration. CGO (2023)
Ajay Brahmakshatriya, Saman P. Amarasinghe
D2X: An eXtensible conteXtual Debugger for Modern DSLs. CGO (2023)
Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi
A Deep Learning Model for Loop Interchange. CC (2023)
Jaeyeon Won, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe
WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program. ASPLOS (2) (2023)
Jaeyeon Won, Changwan Hong, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe
Unified Convolution Framework: A compiler-based approach to support sparse convolutions. MLSys (2023)
Katsumi Okuda, Saman P. Amarasinghe
AskIt: Unified Programming Interface for Programming with Large Language Models. CoRR (2023)
Ariya Shajii, Gabriel Ramirez, Haris Smajlovic, Jessica Ray, Bonnie Berger, Saman P. Amarasinghe, Ibrahim Numanagic
Codon: A Compiler for High-Performance Pythonic Applications and DSLs. CC (2023)
Saman P. Amarasinghe
Compiler Support for Structured Data. FPGA (2023)
Ajay Brahmakshatriya, Saman P. Amarasinghe
GraphIt to CUDA Compiler in 2021 LOC: A Case for High-Performance DSL Implementation via Staging with BuilDSL. CGO (2022)
Peter Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe
Autoscheduling for sparse tensor algebra with an asymptotic cost model. PLDI (2022)
Yishen Chen, Charith Mendis, Saman P. Amarasinghe
All you need is superword-level parallelism: systematic control-flow vectorization with SLP. PLDI (2022)
Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe
Looplets: A Language For Structured Coiteration. CoRR (2022)
Daniel Donenfeld, Stephen Chou, Saman P. Amarasinghe
Unified Compilation for Lossless Compression and Sparse Computing. CGO (2022)
Stephen Chou, Saman P. Amarasinghe
Compilation of dynamic sparse tensor algebra. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Stephen Chou, Saman P. Amarasinghe
Dynamic Sparse Tensor Algebra Compilation. CoRR (2021)
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe
A Deep Learning Based Cost Model for Automatic Code Optimization. MLSys (2021)
Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, Saman P. Amarasinghe
A Deep Learning Based Cost Model for Automatic Code Optimization. CoRR (2021)
Peter Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe
An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs. CoRR (2021)
Jessica Ray, Ajay Brahmakshatriya, Richard Wang, Shoaib Kamil, Albert Reuther, Vivienne Sze, Saman P. Amarasinghe
Domain-Specific Language Abstractions for Compression. DCC (2021)
Ajay Brahmakshatriya, Saman P. Amarasinghe
BuildIt: A Type-Based Multi-stage Programming Framework for Code Generation in C++. CGO (2021)
Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad
Compilation of sparse array programming models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
Compiling Graph Applications for GPU s with GraphIt. CGO (2021)
Yishen Chen, Charith Mendis, Michael Carbin, Saman P. Amarasinghe
VeGen: a vectorizer generator for SIMD and beyond. ASPLOS (2021)
Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. IISWC (2021)
Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
An Attempt to Generate Code for Symmetric Tensor Computations. CoRR (2021)
Ajay Brahmakshatriya, Emily Furst, Victor A. Ying, Claire Hsu, Changwan Hong, Max Ruttenberg, Yunming Zhang, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Julian Shun, Mark Oskin, Daniel Sánchez, Saman P. Amarasinghe
Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures. ISCA (2021)
Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
Compliation Techniques for Graphs Algorithms on GPUs. CoRR (2020)
Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad
A sparse iteration space transformation framework for sparse tensor algebra. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning. CoRR (2020)
Saman P. Amarasinghe
Compiler 2.0: Using Machine Learning to Modernize Compiler Technology. LCTES (2020)
Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman P. Amarasinghe, Julian Shun
Optimizing ordered graph algorithms with GraphIt. CGO (2020)
Suzanne Mueller, Peter Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Sparse Tensor Transpositions. CoRR (2020)
Saman P. Amarasinghe
GrAPL 2020 Keynote Speaker The GraphIt Universal Graph Framework: Achieving HighPerformance across Algorithms, Graph Types, and Architectures. IPDPS Workshops (2020)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Automatic generation of efficient sparse tensor format conversion routines. PLDI (2020)
Suzanne Mueller, Peter Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Sparse Tensor Transpositions. SPAA (2020)
Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra. CoRR (2020)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Automatic Generation of Efficient Sparse Tensor Format Conversion Routines. CoRR (2020)
Lorenzo Di Tucci, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
SALSA: A Domain Specific Architecture for Sequence Alignment. IPDPS Workshops (2020)
Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sýkora, Saman P. Amarasinghe, Michael Carbin
BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models. IISWC (2019)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: Program Rejuvenation through Revectorization. CoRR (2019)
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code. CGO (2019)
Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman P. Amarasinghe, Julian Shun
PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms. CoRR (2019)
Fredrik Kjolstad, Peter Ahrens, Shoaib Kamil, Saman P. Amarasinghe
Tensor Algebra Compilation with Workspaces. CGO (2019)
Sree Harsha Nelaturu, Ziheng Wang, Saman P. Amarasinghe
Accelerated CNN Training through Gradient Approximation. EMC2@HPCA/CVPR/ISCA (2019)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: program rejuvenation through revectorization. CC (2019)
Charith Mendis, Cambridge Yang, Yewen Pu, Saman P. Amarasinghe, Michael Carbin
Compiler Auto-Vectorization with Imitation Learning. NeurIPS (2019)
Saman P. Amarasinghe
The sparse tensor algebra compiler (keynote). CC (2019)
Ariya Shajii, Ibrahim Numanagic, Riyadh Baghdadi, Bonnie Berger, Saman P. Amarasinghe
Seq: a high-performance language for bioinformatics. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. ICML (2019)
Vladimir Kiriansky, Haoran Xu, Martin Rinard, Saman P. Amarasinghe
Cimple: instruction and memory level parallelism: a DSL for uncovering ILP and MLP. PACT (2018)
Charith Mendis, Saman P. Amarasinghe
goSLP: globally optimized superword level parallelism framework. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Fredrik Kjolstad, Shoaib Kamil, Saman P. Amarasinghe
Automatic Generation of Sparse Tensor Kernels with Workspaces. CoRR (2018)
Shoumik Palkar, James J. Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimarjan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia
Evaluating End-to-End Optimization for Data Analytics Applications in Weld. Proc. VLDB Endow. 11 (9) (2018)
Charith Mendis, Saman P. Amarasinghe
goSLP: Globally Optimized Superword Level Parallelism Framework. CoRR (2018)
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
The three pillars of machine programming. MAPL@PLDI (2018)
Sumanaruban Rajadurai, Jeffrey Bosboom, Weng-Fai Wong, Saman P. Amarasinghe
Gloss: Seamless Live Reconfiguration and Reoptimization of Stream Programs. ASPLOS (2018)
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
A Unified Backend for Targeting FPGAs from DSLs. ASAP (2018)
Charith Mendis, Saman P. Amarasinghe, Michael Carbin
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. CoRR (2018)
Vladimir Kiriansky, Ilia A. Lebedev, Saman P. Amarasinghe, Srinivas Devadas, Joel S. Emer
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors. IACR Cryptol. ePrint Arch. 2018 (2018)
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
The Three Pillars of Machine-Based Programming. CoRR (2018)
Vladimir Kiriansky, Ilia A. Lebedev, Saman P. Amarasinghe, Srinivas Devadas, Joel S. Emer
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors. MICRO (2018)
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
Halide: decoupling algorithms from schedules for high-performance image processing. Commun. ACM 61 (1) (2018)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Format abstraction for sparse tensor algebra compilers. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code. CoRR (2018)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Unified Sparse Formats for Tensor Algebra Compilers. CoRR (2018)
Vladimir Kiriansky, Haoran Xu, Martin Rinard, Saman P. Amarasinghe
Cimple: Instruction and Memory Level Parallelism. CoRR (2018)
Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
GraphIt: a high-performance graph DSL. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
GraphIt - A High-Performance DSL for Graph Analytics. CoRR (2018)
Fredrik Kjolstad, Stephen Chou, David Lugato, Shoaib Kamil, Saman P. Amarasinghe
taco: a tool to generate tensor algebra kernels. ASE (2017)
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia
Making caches work for graph analytics. IEEE BigData (2017)
Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman P. Amarasinghe
The tensor algebra compiler. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Shoumik Palkar, James J. Thomas, Deepak Narayanan, Anil Shanbhag, Rahul Palamuttam, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia
Weld: Rethinking the Interface Between Data-Intensive Applications. CoRR (2017)
Shoumik Palkar, James J. Thomas, Anil Shanbhag, Malte Schwarzkopf, Saman P. Amarasinghe, Matei Zaharia
A Common Runtime for High Performance Data Analysis. CIDR (2017)
Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio
A Common Backend for Hardware Acceleration on FPGA. ICCD (2017)
Tyler Denniston, Shoaib Kamil, Saman P. Amarasinghe
Distributed Halide. PPOPP (2016)
Vladimir Kiriansky, Yunming Zhang, Saman P. Amarasinghe
Optimizing Indirect Memory References with milk. PACT (2016)
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe
Optimizing Cache Performance for Graph Analytics. CoRR (2016)
Fredrik Kjolstad, Shoaib Kamil, Jonathan Ragan-Kelley, David I. W. Levin, Shinjiro Sueda, Desai Chen, Etienne Vouga, Danny M. Kaufman, Gurtej Kanwar, Wojciech Matusik, Saman P. Amarasinghe
Simit: A Language for Physical Simulation. ACM Trans. Graph. 35 (2) (2016)
Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe
Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code. PLDI (2015)
Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe
Autotuning algorithmic choice for input sensitivity. PLDI (2015)
Shoaib Kamil, Saman P. Amarasinghe, P. Sadayappan
WOSC 2014: second workshop on optimizing stencil computations. SPLASH (Companion Volume) (2014)
Jeffrey Bosboom, Sumanaruban Rajadurai, Weng-Fai Wong, Saman P. Amarasinghe
StreamJIT: a commensal compiler for high-performance stream programming. OOPSLA (2014)
Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe
OpenTuner: an extensible framework for program autotuning. PACT (2014)
Sanath Jayasena, Saman P. Amarasinghe, Asanka Abeyweera, Gayashan Amarasinghe, Himeshi De Silva, Sunimal Rathnayake, Xiaoqiao Meng, Yanbin Liu
Detection of false sharing using machine learning. SC (2013)
Robert Soulé, Michael I. Gordon, Saman P. Amarasinghe, Robert Grimm, Martin Hirzel
Dynamic expressivity with static optimization for streaming languages. DEBS (2013)
Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, Saman P. Amarasinghe
Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines. PLDI (2013)
Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe
Portable performance on heterogeneous architectures. ASPLOS (2013)
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, Una-May O'Reilly
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection. EvoApplications (2012)
Derek Bruening, Qin Zhao, Saman P. Amarasinghe
Transparent dynamic instrumentation. VEE (2012)
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
Decoupling algorithms from schedules for easy optimization of image processing pipelines. ACM Trans. Graph. 31 (4) (2012)
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel, Saman P. Amarasinghe
Aikido: accelerating shared data dynamic analyses. ASPLOS (2012)
Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe
Siblingrivalry: online autotuning through local competitions. CASES (2012)
Eric Lau, Jason E. Miller, Inseok Choi, Donald Yeung, Saman P. Amarasinghe, Anant Agarwal
Multicore Performance Optimization Using Partner Cores. HotPar (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Saman P. Amarasinghe