Charith Mendis

64 papers A* 12A 3B 3Misc 1Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A conf
GRANII: Selection and Ordering of Primitives in GRAph Neural Networks using Input Inspection.
CGO
Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis
2026 J jnl
MINISA: Minimal Instruction Set Architecture for Next-gen Reconfigurable Inference Accelerator.
CoRR
Jianming Tong, Devansh Jain, Yujie Li, Charith Mendis, Tushar Krishna
2026 J jnl
RuleFlow : Generating Reusable Program Optimizations with LLMs.
CoRR
Avaljot Singh, Dushyant Bharadwaj, Stefanos Baziotis, Kaushik Varadharajan, Charith Mendis
2026 A conf
SAS: Sparse Attention Synthesizer for Efficient Language Model Inference.
EuroSys
Yuan Zhou, Shaojie Xiang, Lingfan Yu, Zhenyu Song, Charith Mendis, Yida Wang
2025 J jnl
A Tensor-Based Compiler and a Runtime for Neuron-Level DNN Certifier Specifications.
CoRR
Avaljot Singh, Yamin Chandini Sarita, Aditya Mishra, Ishaan Goyal, Gagandeep Singh, Charith Mendis
2025 J jnl
ACT: Automatically Generating Compiler Backends from Tensor Accelerator ISA Descriptions.
CoRR
Devansh Jain, Akash Pardeshi, Marco Frigo, Krut Patel, Kaustubh Khulbe, Jai Arora, Charith Mendis
2025 J jnl
Automated Verification of Soundness of DNN Certifiers.
CoRR
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
2025 J jnl
Automated Verification of Soundness of DNN Certifiers.
Proc. ACM Program. Lang.
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
2025 A* conf
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning.
ICML
Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis
2025 J jnl
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning.
CoRR
Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis
2025 J jnl
GALA: A High Performance Graph Neural Network Acceleration LAnguage and Compiler.
Proc. ACM Program. Lang.
Damitha Lenadora, Nikhil Jayakumar, Chamika Sudusinghe, Charith Mendis
2025 J jnl
MISAAL: Synthesis-Based Automatic Generation of Efficient and Retargetable Semantics-Driven Optimizations.
Proc. ACM Program. Lang.
Abdul Rafae Noor, Dhruv Baronia, Akash Kothari, Muchen Xu, Charith Mendis, Vikram S. Adve
2025 J jnl
PandasBench: A Benchmark for the Pandas API.
CoRR
Alex Broihier, Stefanos Baziotis, Daniel Kang, Charith Mendis
2025 J jnl
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report).
CoRR
Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang
2025 J jnl
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees.
Proc. ACM Manag. Data
Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang
2025 J jnl
SPLAT: A Framework for Optimised GPU Code-Generation for SParse reguLar ATtention.
Proc. ACM Program. Lang.
Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
2025 A* conf
TAIDL: Tensor Accelerator ISA Definition Language with Auto-generation of Scalable Test Oracles.
MICRO
Devansh Jain, Marco Frigo, Jai Arora, Akash Pardeshi, Zhihao Wang, Krut Patel, Charith Mendis
2025 J jnl
TensorRight: Automated Verification of Tensor Graph Rewrites.
CoRR
Jai Arora, Sirui Lu, Devansh Jain, Tianfan Xu, Farzin Houshmand, Phitchaya Mangpo Phothilimthana, Mohsen Lesani, Praveen Narayanan, Karthik Srinivasa Murthy, Rastislav Bodík, Amit Sabne, Charith Mendis
2025 J jnl
TensorRight: Automated Verification of Tensor Graph Rewrites.
Proc. ACM Program. Lang.
Jai Arora, Sirui Lu, Devansh Jain, Tianfan Xu, Farzin Houshmand, Phitchaya Mangpo Phothilimthana, Mohsen Lesani, Praveen Narayanan, Karthik Srinivasa Murthy, Rastislav Bodík, Amit Sabne, Charith Mendis
2024 — conf
COMET: Neural Cost Model Explanation Framework.
MLSys
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
2024 J jnl
ConstraintFlow: A DSL for Specification and Verification of Neural Network Analyses.
CoRR
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
2024 B conf
ConstraintFlow: A Declarative DSL for Easy Development of DNN Certifiers.
SAS
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
2024 J jnl
Dias: Dynamic Rewriting of Pandas Code.
Proc. ACM Manag. Data
Stefanos Baziotis, Daniel D. Kang, Charith Mendis
2024 — conf
Hydride: A Retargetable and Extensible Synthesis-based Compiler for Modern Hardware Architectures.
ASPLOS (2)
Akash Kothari, Abdul Rafae Noor, Muchen Xu, Hassam Uddin, Dhruv Baronia, Stefanos Baziotis, Vikram S. Adve, Charith Mendis, Sudipta Sengupta
2024 J jnl
SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention.
CoRR
Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
2024 — conf
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks.
ASPLOS (2)
Yufeng Wang, Charith Mendis
2024 A* conf
TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning.
SIGIR
Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher
2024 A conf
Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools.
CIKM
Ruijie Wang, Wanyu Zhao, Dachun Sun, Charith Mendis, Tarek F. Abdelzaher
2024 J jnl
Transforming the Hybrid Cloud for Emerging AI Workloads.
CoRR
Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2024 — conf
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.
ASPLOS (2)
Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas
2023 — conf
Challenges in Metaverse Research: An Internet of Things Perspective.
MetaCom
Tarek F. Abdelzaher, Matthew Caesar, Charith Mendis, Klara Nahrstedt, Mani Srivastava, Minlan Yu
2023 J jnl
CoMEt: x86 Cost Model Explanation Framework.
CoRR
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
2023 J jnl
Dias: Dynamic Rewriting of Pandas Code.
CoRR
Stefanos Baziotis, Daniel Kang, Charith Mendis
2023 J jnl
FLuRKA: Fast fused Low-Rank & Kernel Attention.
CoRR
Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis
2023 — conf
Generating Memory Allocators from the Ground Up.
LCPC
Pavlo Pastaryev, Charith Mendis, Lawrence Rauchwerger
2023 J jnl
Input-sensitive dense-sparse primitive compositions for GNN acceleration.
CoRR
Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis
2023 — ed.
Languages and Compilers for Parallel Computing - 35th International Workshop, LCPC 2022, Chicago, IL, USA, October 12-14, 2022, Revised Selected Papers
LCPC
Charith Mendis, Lawrence Rauchwerger
2023 A* conf
Learning Large Graph Property Prediction via Graph Segment Training.
NeurIPS
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023 J jnl
Learning Large Graph Property Prediction via Graph Segment Training.
CoRR
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023 A* conf
SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM.
ISCA
Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas
2023 B conf
TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks.
PPoPP
Yufeng Wang, Charith Mendis
2023 A* conf
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
NeurIPS
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
2023 J jnl
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
CoRR
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
2023 — conf
Unified Convolution Framework: A compiler-based approach to support sparse convolutions.
MLSys
Jaeyeon Won, Changwan Hong, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe
2023 — conf
WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program.
ASPLOS (2)
Jaeyeon Won, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe
2022 A* conf
All you need is superword-level parallelism: systematic control-flow vectorization with SLP.
PLDI
Yishen Chen, Charith Mendis, Saman P. Amarasinghe
2022 — conf
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation.
IISWC
Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh
2022 J jnl
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation.
CoRR
Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh
2021 — conf
A Learned Performance Model for Tensor Processing Units.
MLSys
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows
2021 A* conf
VeGen: a vectorizer generator for SIMD and beyond.
ASPLOS
Yishen Chen, Charith Mendis, Michael Carbin, Saman P. Amarasinghe
2020 A* conf
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates.
MICRO
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
2020 J jnl
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates.
CoRR
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
2019 — conf
BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models.
IISWC
Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sýkora, Saman P. Amarasinghe, Michael Carbin
2019 A* conf
Compiler Auto-Vectorization with Imitation Learning.
NeurIPS
Charith Mendis, Cambridge Yang, Yewen Pu, Saman P. Amarasinghe, Michael Carbin
2019 A* conf
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks.
ICML
Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin
2019 J jnl
Revec: Program Rejuvenation through Revectorization.
CoRR
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
2019 B conf
Revec: program rejuvenation through revectorization.
CC
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
2018 J jnl
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks.
CoRR
Charith Mendis, Saman P. Amarasinghe, Michael Carbin
2018 J jnl
goSLP: Globally Optimized Superword Level Parallelism Framework.
CoRR
Charith Mendis, Saman P. Amarasinghe
2018 J jnl
goSLP: globally optimized superword level parallelism framework.
Proc. ACM Program. Lang.
Charith Mendis, Saman P. Amarasinghe
2017 — conf
Making caches work for graph analytics.
IEEE BigData
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia
2016 J jnl
Optimizing Cache Performance for Graph Analytics.
CoRR
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe
2016 Misc conf
Parallelizing WFST speech decoders.
ICASSP
Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig
2015 A* conf
Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code.
PLDI
Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe