activity
20132026
most citedEfficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems

38 citations · 38 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Scaling Vision Transformers: Evaluating DeepSpeed for Image-Centric Workloads

Huy Trinh, Rebecca Ma, Zeqi Yu +1

Vision Transformers (ViTs) have demonstrated remarkable potential in image processing tasks by utilizing self-attention mechanisms to capture global relationships within data. Howe…

cs.DC2022

Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs

Tahsin Reza, Geoffrey Sanders, Roger Pearce

Given an edge-weighted graph and a set of known seed vertices, a network scientist often desires to understand the graph relationships to explain connections between the seed verti…

cs.DC2021

TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata

Trevor Steil, Tahsin Reza, Keita Iwabuchi +3

Understanding the higher-order interactions within network data is a key objective of network science. Surveys of metadata triangles (or patterned 3-cycles in metadata-enriched gra…

cs.DC2019

Scalable Pattern Matching in Metadata Graphs via Constraint Checking

Tahsin Reza, Hassan Halawa, Matei Ripeanu +2

Pattern matching is a fundamental tool for answering complex graph queries. Unfortunately, existing solutions have limited capabilities: they do not scale to process large graphs a…

cs.DC2013★ 38 cited

Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems

Abdullah Gharaibeh, Tahsin Reza, Elizeu Santos-Neto +3

The increasing scale and wealth of inter-connected data, such as those accrued by social network applications, demand the design of new techniques and platforms to efficiently deri…