Charith Mendis

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Hardware Architecture

Benchmark Suite

Top Venues

Publications

Stefanos Baziotis, Daniel D. Kang, Charith Mendis
Dias: Dynamic Rewriting of Pandas Code. Proc. ACM Manag. Data 2 (1) (2024)
Yufeng Wang, Charith Mendis
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks. ASPLOS (2) (2024)
Akash Kothari, Abdul Rafae Noor, Muchen Xu, Hassam Uddin, Dhruv Baronia, Stefanos Baziotis, Vikram S. Adve, Charith Mendis, Sudipta Sengupta
Hydride: A Retargetable and Extensible Synthesis-based Compiler for Modern Hardware Architectures. ASPLOS (2) (2024)
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
ConstraintFlow: A DSL for Specification and Verification of Neural Network Analyses. CoRR (2024)
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
COMET: Neural Cost Model Explanation Framework. MLSys (2024)
Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. ASPLOS (2) (2024)
Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention. CoRR (2024)
Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher
TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. SIGIR (2024)
Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas
SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM. ISCA (2023)
Stefanos Baziotis, Daniel Kang, Charith Mendis
Dias: Dynamic Rewriting of Pandas Code. CoRR (2023)
Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh
CoMEt: x86 Cost Model Explanation Framework. CoRR (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. CoRR (2023)
Mangpo Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS (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)
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR (2023)
Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis
FLuRKA: Fast fused Low-Rank & Kernel Attention. CoRR (2023)
Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis
Input-sensitive dense-sparse primitive compositions for GNN acceleration. CoRR (2023)
Tarek F. Abdelzaher, Matthew Caesar, Charith Mendis, Klara Nahrstedt, Mani Srivastava, Minlan Yu
Challenges in Metaverse Research: An Internet of Things Perspective. MetaCom (2023)
Yufeng Wang, Charith Mendis
TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks. PPoPP (2023)
Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation. CoRR (2022)
Yishen Chen, Charith Mendis, Saman P. Amarasinghe
All you need is superword-level parallelism: systematic control-flow vectorization with SLP. PLDI (2022)
Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation. IISWC (2022)
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows
A Learned Performance Model for Tensor Processing Units. MLSys (2021)
Yishen Chen, Charith Mendis, Michael Carbin, Saman P. Amarasinghe
VeGen: a vectorizer generator for SIMD and beyond. ASPLOS (2021)
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates. CoRR (2020)
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates. MICRO (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)
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)
Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. ICML (2019)
Charith Mendis, Saman P. Amarasinghe
goSLP: globally optimized superword level parallelism framework. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Charith Mendis, Saman P. Amarasinghe
goSLP: Globally Optimized Superword Level Parallelism Framework. CoRR (2018)
Charith Mendis, Saman P. Amarasinghe, Michael Carbin
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. CoRR (2018)
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia
Making caches work for graph analytics. IEEE BigData (2017)
Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig
Parallelizing WFST speech decoders. ICASSP (2016)
Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe
Optimizing Cache Performance for Graph Analytics. CoRR (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)