Richard Veras

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Real World Graphs

Invariant Representation

Top Venues

Publications

Chase Cummins, Richard Veras
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations. CoRR (2024)
Khaled Abdelaal, Richard Veras
A Framework for Analyzing the Robustness of Graph Models. HPEC (2023)
Khaled Abdelaal, Richard Veras
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure. CoRR (2023)
Khaled Abdelaal, Richard Veras
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure. IWANN (1) (2023)
Sudhindra Gopal Krishna, Aditya Narasimhan, Sridhar Radhakrishnan, Richard Veras
On Large-Scale Matrix-Matrix Multiplication On Compressed Structures. IEEE BigData (2021)
Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan
Analytical cache modeling and tilesize optimization for tensor contractions. SC (2019)
Richard Veras, Tze Meng Low, Franz Franchetti
A scale-free structure for power-law graphs. HPEC (2016)
Richard Veras, Doru-Thom Popovici, Tze Meng Low, Franz Franchetti
Compilers, hands-off my hands-on optimizations. WPMVP@PPoPP (2016)
Richard Veras, Franz Franchetti
Capturing the Expert: Generating Fast Matrix-Multiply Kernels with Spiral. VECPAR (2014)
Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet, P. Sadayappan
When polyhedral transformations meet SIMD code generation. PLDI (2013)
Thomas Henretty, Richard Veras, Franz Franchetti, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan
A stencil compiler for short-vector SIMD architectures. ICS (2013)
Jamie Liu, Ben Jaiyen, Richard Veras, Onur Mutlu
RAIDR: Retention-aware intelligent DRAM refresh. ISCA (2012)