5 citations · 23 across the 21 of their papers we have counts for
4 papers · 1 filter
Guiding Optimizations with Meliora: A Deep Walk down Memory Lane
Kewen Meng, Boyana Norris
Performance models can be very useful for understanding the behavior of applications and hence can help guide design and optimization decisions. Unfortunately, performance modeling…
Distributed-Memory Vertex-Centric Network Embedding for Large-Scale Graphs
Sara Riazi, Boyana Norris
Network embedding is an important step in many different computations based on graph data. However, existing approaches are limited to small or middle size graphs with fewer than a…
Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm
Giuseppe Cerati, Peter Elmer, Brian Gravelle +14
One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruct…
Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures
Sophie Berkman, Giuseppe Cerati, Brian Gravelle +3
Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is be…