Conducting long-timescale simulations of small molecules using Molecular Dynamics (MD)
is crucial in drug design. However, traditional methods to accelerate the process, including …

Ulmann, Analog Computing (75518) Page 1 Bibliography [Adler 1968] Helmut Adler,
Elektronische Analogrechner, VEB Deutscher Verlag der Wissenschaften, Berlin, 1968 [Admiralty …

FPGAs are fostering interest as energy-efficient accelerators for scientific simulations,
including for methods operating on unstructured meshes. Considering the potential impact …

Noctua 2 is a supercomputer operated at the Paderborn Center for Parallel Computing
(PC2) at Paderborn University in Germany. Noctua 2 was inaugurated in 2022 and is an …

Abstract Over the years, Field Programmable Gate Arrays (FPGA) have been gaining
popularity in the High Performance Computing (HPC) field, because their reconfigurability …

In the search of more energy efficient computing devices that could be assembled to build
future exascale systems, this study proposes a chip to chip comparison between a CPU, a …

Spiking Neural Networks (SNNs) are models that mimic and replicate the computational
properties of the biological brain. Computation is performed using neurons that transmit …

Version 4.0 of the Message Passing Interface standard introduced the concept of Partitioned
Communication, which adds support for multiple contributions to a communication buffer …

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 of …

Using OpenCL-based high-level synthesis, we create a number of spiking neural network
(SNN) simulators for the Potjans-Diesmann cortical microcircuit for a high-end Field …