Charith Mendis

According to our database, Charith Mendis authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

ConstraintFlow: A DSL for Specification and Verification of Neural Network Analyses.

Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh

CoRR, 2024

TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks.

Yufeng Wang, Charith Mendis

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Hydride: A Retargetable and Extensible Synthesis-based Compiler for Modern Hardware Architectures.

Akash Kothari, Abdul Rafae Noor, Muchen Xu, Hassam Uddin, Dhruv Baronia, Stefanos Baziotis, Vikram S. Adve, Charith Mendis, Sudipta Sengupta

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.

Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi

CoRR, 2023

FLuRKA: Fast fused Low-Rank & Kernel Attention.

Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis

CoRR, 2023

Input-sensitive dense-sparse primitive compositions for GNN acceleration.

Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis, Serif Yesil, Josep Torrellas, Charith Mendis

CoRR, 2023

Dias: Dynamic Rewriting of Pandas Code.

Stefanos Baziotis, Daniel Kang, Charith Mendis

CoRR, 2023

CoMEt: x86 Cost Model Explanation Framework.

Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh

CoRR, 2023

TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks.

Yufeng Wang, Charith Mendis

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

Mangpo Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Large Graph Property Prediction via Graph Segment Training.

Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Challenges in Metaverse Research: An Internet of Things Perspective.

Tarek F. Abdelzaher, Matthew Caesar, Charith Mendis, Klara Nahrstedt, Mani Srivastava, Minlan Yu

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM.

Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program.

Jaeyeon Won, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe

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

2022

All you need is superword-level parallelism: systematic control-flow vectorization with SLP.

Yishen Chen, Charith Mendis, Saman P. Amarasinghe

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation.

Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

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 Machine Learning and Systems 2021, 2021

VeGen: a vectorizer generator for SIMD and beyond.

Yishen Chen, Charith Mendis, Michael Carbin, Saman P. Amarasinghe

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates.

Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019

Compiler Auto-Vectorization with Imitation Learning.

Charith Mendis, Cambridge Yang, Yewen Pu, Saman P. Amarasinghe, Michael Carbin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models.

Yishen Chen, Ajay Brahmakshatriya, Charith Mendis, Alex Renda, Eric Atkinson, Ondrej Sýkora, Saman P. Amarasinghe, Michael Carbin

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks.

Charith Mendis, Alex Renda, Saman P. Amarasinghe, Michael Carbin

Proceedings of the 36th International Conference on Machine Learning, 2019

Revec: program rejuvenation through revectorization.

Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe

Proceedings of the 28th International Conference on Compiler Construction, 2019

2018

goSLP: globally optimized superword level parallelism framework.

Charith Mendis, Saman P. Amarasinghe

Proc. ACM Program. Lang., 2018

Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks.

Charith Mendis, Saman P. Amarasinghe, Michael Carbin

CoRR, 2018

2017

Making caches work for graph analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Optimizing Cache Performance for Graph Analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe

CoRR, 2016

Parallelizing WFST speech decoders.

Charith Mendis, Jasha Droppo, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Geoffrey Zweig

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code.

Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015