58 citations · 77 across the 6 of their papers we have counts for
6 papers
Performance Isolation for Inference Processes in Edge GPU Systems
Juan José Martín, José Flich, Carles Hernández
This work analyzes the main isolation mechanisms available in modern NVIDIA GPUs: MPS, MIG, and the recent Green Contexts, to ensure predictable inference time in safety-critical a…
Toward matrix multiplication for deep learning inference on the Xilinx Versal
Jie Lei, José Flich, Enrique S. Quintana-Ortí
The remarkable positive impact of Deep Neural Networks on many Artificial Intelligence (AI) tasks has led to the development of various high performance algorithms as well as speci…
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…
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems
Giovanni Agosta, William Fornaciari, David Atienza +8
RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, w…
TDSR: Transparent Distributed Segment-Based Routing
Juan-José Crespo, German Maglione-Mathey, José L. Sánchez +2
Component reliability and performance pose a great challenge for interconnection networks. Future technology scaling such as transistor integration capacity in VLSI design will res…
UPR: Deadlock-Free Dynamic Network Reconfiguration by Exploiting Channel Dependency Graph Compatibility
Juan-José Crespo, José L. Sánchez, Francisco J. Alfaro-Cortés +2
Deadlock-free dynamic network reconfiguration process is usually studied from the routing algorithm restrictions and resource reservation perspective. The dynamic nature yielded by…