Fetching the paper…
Reading the bibliography…
As the performance of computer systems stagnates due to the end of Moore's Law, there is a need for new models that can understand and optimize the execution of general purpose code.
Buffer block prefetching method
J. D. Gindele · 1977
Earlier work this paper cites.
A study of branch prediction strategies
James E Smith · 1981
Earlier work this paper cites.
Improving direct-mapped cache performance by the addition of a small fully-associative cache and prefetch buffers
Norman Jouppi · 1990
Earlier work this paper cites.
Generalized correlation-based hardware prefetching
M. J. Charney and A. P. Reeves · 1995
Earlier work this paper cites.
Effective hardware-based data prefetching for high-performance processors
Tien-Fu Chen and Jean-Loup Baer · 1995
Earlier work this paper cites.
Flow-directed inlining
Suresh Jagannathan and Andrew Wright · 1996
Earlier work this paper cites.
Combining loop transformations considering caches and scheduling
Michael E Wolf, Dror E Maydan, and Ding-Kai Chen · 1996
Earlier work this paper cites.
The bi-mode branch predictor
Chih-Chieh Lee, I-Cheng K Chen, and Trevor N Mudge · 1997
Earlier work this paper cites.
Dependence based prefetching for linked data structures
Amir Roth, Andreas Moshovos, and Gurindar S. Sohi · 1998
Earlier work this paper cites.
Dynamic branch prediction with perceptrons
Daniel A Jiménez and Calvin Lin · 2001
Earlier work this paper cites.
Dynamic hot data stream prefetching for general-purpose programs
Trishul M Chilimbi and Martin Hirzel · 2002
Earlier work this paper cites.
Simpoint 3.0: Faster and more flexible program phase analysis
Greg Hamerly, Erez Perelman, Jeremy Lau, and Brad Calder · 2005
Earlier work this paper cites.
Pin: building customized program analysis tools with dynamic instrumentation
Chi-Keung Luk, Robert Cohn, Robert Muth, Harish Patil, Artur Klauser, Geoff Lowney, Steven Wallace, Vijay Janapa Reddi, and Kim Hazelwood · 2005
Earlier work this paper cites.
The Standard Performance Evaluation Corporation, 2006
SPEC CPU2006 · 2006
Earlier work this paper cites.
Practical off-chip meta-data for temporal memory streaming
Thomas F Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, and Andreas Moshovos · 2009
Earlier work this paper cites.
A new case for the tage branch predictor
André Seznec · 2011
Cited alongside, same era.
Deep neural networks for acoustic modeling in speech recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Brian Kingsbury, and Tara Sainath · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Cited alongside, same era.
A machine learning framework for programming by example
Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, and Adam Kalai · 2013
Cited alongside, same era.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
Cited alongside, same era.
Robustfill: Neural program learning under noisy i/o
Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, and Pushmeet Kohli · 2017
Later among the works it cites.
Parallel wavenet: Fast high-fidelity speech synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, and Demis Hassabis · 2017
Later among the works it cites.
More moore: Thinking outside the server box
Parthasarathy Ranganathan · 2017
Later among the works it cites.
Dynamic neural program embedding for program repair
Ke Wang, Rishabh Singh, and Zhendong Su · 2017
Later among the works it cites.
A survey of machine learning for big code and naturalness
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Cited alongside, same era.
Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2015
Cited alongside, same era.
Deepcoder: Learning to write programs
Matej Balog, Alexander L Gaunt, Marc Brockschmidt, Sebastian Nowozin, and Daniel Tarlow · 2016
Cited alongside, same era.
Announcement of results and awards
James Dundas · 2016
Cited alongside, same era.
Multiperspective perceptron predictor
Daniel A Jiménez · 2016
Cited alongside, same era.
Convolutional neural networks over tree structures for programming language processing
Lu Zhang Tao Wang Zhi Jin Lili Mou, Ge Li · 2016
Cited alongside, same era.
Neuro-symbolic program synthesis
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, and Pushmeet Kohli · 2016
Cited alongside, same era.
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton · 2018
Later among the works it cites.
Neural code comprehension: A learnable representation of code semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, and Torsten Hoefler · 2018
Later among the works it cites.
Path-based function embedding and its application to specification mining
Daniel DeFreez, Aditya V Thakur, and Cindy Rubio-González · 2018
Later among the works it cites.
Learning memory access patterns
Milad Hashemi, Kevin Swersky, Jamie A Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, and Parthasarathy Ranganathan · 2018
Later among the works it cites.
Code vectors: Understanding programs through embedded abstracted symbolic traces
Jordan Henkel, Shuvendu Lahiri, Ben Liblit, and Thomas Reps · 2018
Later among the works it cites.
Ithemal: Accurate, portable and fast basic block throughput estimation using deep neural networks
Charith Mendis, Alex Renda, Saman Amarasinghe, and Michael Carbin · 2018
Later among the works it cites.
Neural arithmetic logic units
Andrew Trask, Felix Hill, Scott E Reed, Jack Rae, Chris Dyer, and Phil Blunsom · 2018
Later among the works it cites.
Neural-guided deductive search for real-time program synthesis from examples
Ashwin J Vijayakumar, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, and Sumit Gulwani · 2018
Later among the works it cites.
Automatic program synthesis of long programs with a learned garbage collector
Amit Zohar and Lior Wolf · 2018
Later among the works it cites.
Execution-guided neural program synthesis
Xinyun Chen, Chang Liu, and Dawn Song · 2019
Closest in time.
A new golden age for computer architecture
John L Hennessy and David A Patterson · 2019
Closest in time.