output
20162024
most citedEnabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence

58 citations

17 papers

cs.CV2024

Privacy-Preserving Adaptive Re-Identification without Image Transfer

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler +1

Re-Identification systems (Re-ID) are crucial for public safety but face the challenge of having to adapt to environments that differ from their training distribution. Furthermore,…

cs.CR2024

CROSSCON: Cross-platform Open Security Stack for Connected Devices

Bruno Crispo, Marco Roveri, Sandro Pinto +8

The proliferation of Internet of Things (IoT) embedded devices is expected to reach 30 billion by 2030, creating a dynamic landscape where diverse devices must coexist. This presen…

cs.DC20222 cited

Node-Type-Based Load-Balancing Routing for Parallel Generalized Fat-Trees

John Gliksberg, Jean-Noel Quintin, Pedro Javier Garcia

High-Performance Computing (HPC) clusters are made up of a variety of node types (usually compute, I/O, service, and GPGPU nodes) and applications don't use nodes of a different ty…

cs.DC20223 cited

High-Quality Fault-Resiliency in Fat-Tree Networks (Extended Abstract)

John Gliksberg, Antoine Capra, Alexandre Louvet +2

Coupling regular topologies with optimized routing algorithms is key in pushing the performance of interconnection networks of HPC systems. In this paper we present Dmodc, a fast d…

cs.LG2022

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference

F. Keddous, H-N. Nguyen, A. Nakib

We present a new efficient OpenCL-based Accelerator for large scale Convolutional Neural Networks called Fast Inference on FPGAs for Convolution Neural Network (FFCNN). FFCNN is ba…

cs.DC202258 cited

Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence

Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34

The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…