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Reading List

Readings

These are a collated list of readings on a variety of topics from hardware to profiling and language optimisations categorised into their respective conferences.

Moreover, this also includes a list of recommended readings by the group.

Contents


Architecture Conferences

Machine Learning Conferences

System Focus Conferences

Reading List

Ordered by date recommended (ascending order).

Tags Year Paper Notes
Programming Languages (cs.PL); Profiling 2020 Scalene: Scripting-Language Aware Profiling for Python notes
Programming Languages (cs.PL); Profiling 2020 Toward Efficient Interactions between Python and Native Libraries notes
Computation Graph Optimisation; RL; 2020 Transferable Graph Optimizers for ML Compilers notes
Application of BNN; BNN; 2019 Deterministic and Bayesian Neural Networks for Low-latency Gravitational Wave Parameter Estimation of Binary Black Hole Merger notes
2020 Impact Hardware Predictive Uncertainty notes
2018 TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
2021 MonoNAS: Efficient Scaling Up Cross-Device Neural Architecture Search Mobile Inference
2021 Q -VR Rendering in mobile system final
2019 Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks
2019 Gravitational Wave BNN
2020 Efficient And Scalable BNN using Rank-1 Factors notes
2020 Automatic Generation of High-Performance Quantised Machine Learning
2019 Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO
2018 Neural Architecture Search: A Survey

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