activity
20182026
most citedPetascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes

26 citations · 54 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DL2026★ 1 cited

The Case of the Mysterious Citations

Amanda Bienz, Carl Pearson, Simon Garcia de Gonzalo

Mysterious citations are routinely appearing in peer-reviewed publications throughout the scientific community. In this paper, we developed an automated pipeline and examine the pr…

cs.DC2024

HiCCL: A Hierarchical Collective Communication Library

Mert Hidayetoglu, Simon Garcia de Gonzalo, Elliott Slaughter +4

HiCCL (Hierarchical Collective Communication Library) addresses the growing complexity and diversity in high-performance network architectures. As GPU systems have envolved into ne…

cs.DC2023

ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

Automatic code optimization is a complex process that typically involves the application of multiple discrete algorithms that modify the program structure irreversibly. However, th…

cs.DC2023★ 1 cited

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

Various kinds of applications take advantage of GPUs through automation tools that attempt to automatically exploit the available performance of the GPU's parallel architecture. Di…

cs.DC2021★ 9 cited

JACC: An OpenACC Runtime Framework with Kernel-Level and Multi-GPU Parallelization

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-c…

cs.DC2020★ 26 cited

Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes

Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo +6

X-ray computed tomography is a commonly used technique for noninvasive imaging at synchrotron facilities. Iterative tomographic reconstruction algorithms are often preferred for re…

cs.DC2018★ 17 cited

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments

Abdul Dakkak, Cheng Li, Simon Garcia de Gonzalo +2

Deep neural networks (DNNs) have become core computation components within low latency Function as a Service (FaaS) prediction pipelines: including image recognition, object detect…