Richard Veras

According to our database, Richard Veras authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations.

Chase Cummins, Richard Veras

CoRR, 2024

2023

Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure.

Khaled Abdelaal, Richard Veras

Proceedings of the Advances in Computational Intelligence, 2023

A Framework for Analyzing the Robustness of Graph Models.

Khaled Abdelaal, Richard Veras

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Using q-learning to select the best among functionally equivalent implementations.

Meggie van den Oever, Lauren E. Grimley, Richard Michael Veras

Proceedings of the ARRAY '22: 8th ACM SIGPLAN International Workshop on Libraries, 2022

2021

On Large-Scale Matrix-Matrix Multiplication On Compressed Structures.

Sudhindra Gopal Krishna, Aditya Narasimhan, Sridhar Radhakrishnan, Richard Veras

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Analytical cache modeling and tilesize optimization for tensor contractions.

Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan

Proceedings of the International Conference for High Performance Computing, 2019

2018

SPIRAL: Extreme Performance Portability.

Franz Franchetti, Tze Meng Low, Doru-Thom Popovici, Richard Michael Veras, Daniele G. Spampinato, Jeremy R. Johnson, Markus Püschel, James C. Hoe, José M. F. Moura

Proc. IEEE, 2018

2017

A Systematic Approach for Obtaining Performance on Matrix-Like Operations.

Richard Veras

PhD thesis, 2017

A scale-free structure for real world networks.

Richard Michael Veras, Franz Franchetti

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016

Automating the Last-Mile for High Performance Dense Linear Algebra.

Richard Michael Veras, Tze Meng Low, Tyler Michael Smith, Robert A. van de Geijn, Franz Franchetti

CoRR, 2016

Compilers, hands-off my hands-on optimizations.

Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti

Proceedings of the 3rd Workshop on Programming Models for SIMD/Vector Processing, 2016

A scale-free structure for power-law graphs.

Richard Veras, Tze Meng Low, Franz Franchetti

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2014

Capturing the Expert: Generating Fast Matrix-Multiply Kernels with Spiral.

Richard Veras, Franz Franchetti

Proceedings of the High Performance Computing for Computational Science - VECPAR 2014 - 11th International Conference, Eugene, OR, USA, June 30, 2014

2013

When polyhedral transformations meet SIMD code generation.

Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet, P. Sadayappan

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

A stencil compiler for short-vector SIMD architectures.

Thomas Henretty, Richard Veras, Franz Franchetti, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan

Proceedings of the International Conference on Supercomputing, 2013

2012

RAIDR: Retention-aware intelligent DRAM refresh.

Jamie Liu, Ben Jaiyen, Richard Veras, Onur Mutlu

Proceedings of the 39th International Symposium on Computer Architecture (ISCA 2012), 2012