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Publications associées (10)
Multiscale biomolecular simulations in the exascale era
Ursula Röthlisberger, Simone Meloni
The complexity of biological systems and processes, spanning molecular to macroscopic scales, necessitates the use of multiscale simulations to get a comprehensive understanding. lar dynamics (MD) simulations are crucial for capturing processes beyond the ...
Current Biology Ltd2024uKharon: A Membership Service for Microsecond Applications
Rachid Guerraoui, Antoine Murat, Javier Picorel Obando, Athanasios Xygkis
Modern data center fabrics open the possibility of microsecond distributed applications, such as data stores and message queues. A challenging aspect of their development is to ensure that, besides being fast in the common case, these applications react fa ...
USENIX Association2023The RECIPE approach to challenges in deeply heterogeneous high performance systems
David Atienza Alonso, Marina Zapater Sancho
RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring new High-Performance Computing (HPC) ...
ELSEVIER2020A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient Solvers
We propose a novel, minimally intrusive approach to adding fault tolerance to existing complex scientific simulation codes, used for addressing a broad range of time-dependent problems on the next generation of supercomputers. Exascale systems have the pot ...
2019Pythia: Remote Oracles for the Masses
Mathias Josef Payer, Yuqing Zhang
Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...
USENIX ASSOC2019Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
Andreas Peter Burg, Adam Shmuel Teman, Luca Benini, Jeremy Hugues-Felix Constantin
This article presents an ultra-low-power parallel computing platform and its system-on-chip (SoC) embodiment, targeting a wide range of emerging near-sensor processing tasks for Internet of Things (IoT) applications. The proposed SoC achieves 193 million o ...
Institute of Electrical and Electronics Engineers2017