428 citations · 4.5k across the 191 of their papers we have counts for
7 papers · 2 filters
NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI
Fabian Schuiki, Michael Schaffner, Luca Benini
Specialized coprocessors for Multiply-Accumulate (MAC) intensive workloads such as Deep Learning are becoming widespread in SoC platforms, from GPUs to mobile SoCs. In this paper w…
On the Feasibility of FPGA Acceleration of Molecular Dynamics Simulations
Michael Schaffner, Luca Benini
Classical molecular dynamics (MD) simulations are important tools in life and material sciences since they allow studying chemical and biological processes in detail. However, the…
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration
Andrea Borghesi, Andrea Bartolini, Michela Milano +1
Energy efficiency is of paramount importance for the sustainability of HPC systems. Energy consumption limits the peak performance of supercomputers and accounts for a large share…
COUNTDOWN: a Run-time Library for Performance-Neutral Energy Saving in MPI Applications
Daniele Cesarini, Andrea Bartolini, Pietro Bonfà +2
Power and energy consumption is becoming key challenges to deploy the first exascale supercomputer successfully. Large-scale HPC applications waste a significant amount of power in…
DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring for Data-Center Analytics, Automation and Control (Extended)
Antonio Libri, Andrea Bartolini, Luca Benini
Data centers are increasing in size and complexity, and we need scalable approaches to support their automated analysis and control. Performance counters and power consumption are…
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
Renzo Andri, Lukas Cavigelli, Davide Rossi +1
Deep neural networks have achieved impressive results in computer vision and machine learning. Unfortunately, state-of-the-art networks are extremely compute and memory intensive w…