6 citations · 6 across the 3 of their papers we have counts for
4 papers
Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Marius Meyer, Tobias Kenter, Lucian Petrica +3
Most FPGA boards in the HPC domain are well-suited for parallel scaling because of the direct integration of versatile and high-throughput network ports. However, the utilization o…
ACCL+: an FPGA-Based Collective Engine for Distributed Applications
Zhenhao He, Dario Korolija, Yu Zhu +5
FPGAs are increasingly prevalent in cloud deployments, serving as Smart NICs or network-attached accelerators. Despite their potential, developing distributed FPGA-accelerated appl…
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA
Lucian Petrica, Tobias Alonso, Mairin Kroes +3
Custom dataflow Convolutional Neural Network (CNN) inference accelerators on FPGA are tailored to a specific CNN topology and store parameters in On-Chip Memory (OCM), resulting in…
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA
Mairin Kroes, Lucian Petrica, Sorin Cotofana +1
Convolutional neural network (CNN) dataflow inference accelerators implemented in Field Programmable Gate Arrays (FPGAs) have demonstrated increased energy efficiency and lower lat…