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As part of an on-going effort to simplify the data analysis path for VLBI experiments, a pipeline procedure has been developed at JIVE to carry out much of the data reduction required for EVN experiments in an automated fashion. This…

Astrophysics · Physics 2016-08-30 C. Reynolds , Z. Paragi , M. Garrett

The European VLBI Network (EVN) is in the process of establishing an e-VLBI array in which the radio telescopes and the EVN correlator at JIVE are connected in real-time, via high-speed national fibre optic networks and the pan-European…

Astrophysics · Physics 2007-05-23 M. A. Garrett

The EVN MkIV data processor is being equipped with a high data output capability, called PCInt. In its next phase it will allow very high data output rates, up to 160 Mb/s. This functionality is required for the high spectral resolution…

Astrophysics · Physics 2007-05-23 H. J. van Langevelde , H. Verkouter , S. Parsley , M. Garrett , F. Olnon , B. Kramer

Spurred by the advent of disk-based recording systems and the nearly explosive increase of internet bandwidth, eVLBI (Parsley et al. 2004) has undergone a remarkable development over the past two years. From ftp-based transfers of small…

Some microquasars are permanently bright radio sources while others are faint but produce powerful radio outbursts. Most of the X-ray binaries (XRB) however are very faint or undetected in the radio regime. The European VLBI Network (EVN)…

Astrophysics · Physics 2007-05-23 Zsolt Paragi , Michael A. Garrett , Andrew D. Biggs

Traditionally VLBI observations focus on a small patch of sky and image typically a few 100 mas around a bright source, which is often used to self-calibrate the data. High spectral and time resolution is needed to image a larger area, in…

We present a novel architecture for accelerating PIV calculations. An optical flow hardware accelerator does the brunt of the work, with cross-correlation only providing quick corrections. The result is RapidPIV: a free-to-download software…

Fluid Dynamics · Physics 2025-04-28 Scott A. Bollt , Samuel H. Foxman , Morteza Gharib

We report results of the performance evaluation of a new hardware correlator in Korea, the Daejeon correlator, developed by the Korea Astronomy and Space Science Institute (KASI) and the National Astronomical Observatory of Japan (NAOJ). We…

Handling vast amounts of data is crucial in today's world. The growth of high-performance computing has created a need for parallelization, particularly in the area of machine learning algorithms such as ANN (Approximate Nearest Neighbors).…

Machine Learning · Computer Science 2024-07-19 Konstantin Rumyantsev , Pavel Yakovlev , Andrey Gorshkov , Andrey P. Sokolov

Monolithic 3D integration has become a promising solution for future computing needs. The metal inter-layer via (MIV) forms interconnects between substrate layers in Monolithic 3D integration. Despite small size of MIV, the area overhead…

Systems and Control · Electrical Eng. & Systems 2023-06-27 Madhava Sarma Vemuri , Umamaheswara Rao Tida

The achievable acquisition rates of modern triggered nuclear physics experiments are heavily dependent on the readout software, in addition to the limits given by the utilized hardware. This paper presents an asynchronous readout scheme…

Instrumentation and Detectors · Physics 2019-02-19 M. Munch , J. H. Jensen , B. Löher , H. Törnqvist , H. T. Johansson

The RISC-V Vector Extension~(RVV) is a cornerstone for supporting compute throughout in scientific and machine learning workloads. Yet compiler support and performance monitoring on real RVV~1.0 hardware are still evolving. In this work, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-25 Ruimin Shi , Maya Gokhale , Pei-Hung Lin , Xavier Teruel , Ivy Peng

In this paper, we present the design and implementation of our latest OpenVLC1.3 platform to perform research in Visible Light Communication Systems. We retain the advantages of the previous versions such as TCP/IP layers support, software…

Networking and Internet Architecture · Computer Science 2019-03-06 Ander Galisteo , Diego Juara , Domenico Giustiniano

Here we present the recent progress in upgrading a predictive model for Megaelectron-Volt (MeV) electrons inside the Earth's outer Van Allen belt. This updated model, called PreMevE 2.0, is demonstrated to make much improved forecasts,…

Space Physics · Physics 2020-04-22 Rafael Pires de Lima , Yue Chen , Youzuo Lin

RISC-V provides a flexible and scalable platform for applications ranging from embedded devices to high-performance computing clusters. Particularly, its RISC-V Vector Extension (RVV) becomes of interest for the acceleration of AI…

Machine Learning · Computer Science 2025-08-20 Federico Nicolas Peccia , Frederik Haxel , Oliver Bringmann

The Event Horizon Telescope (EHT) has successfully revealed the shadow of the supermassive black hole, M87*, with an unprecedented angular resolution of approximately 20 uas at 230 GHz. However, because of limited short baseline lengths,…

One of the most intriguing open questions of today's astrophysics is the jet physical properties and the location and the mechanisms for the production of MeV, GeV, and TeV gamma-rays in AGN jets. M87 is a privileged laboratory for a…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 G. Giovannini , C. Casadio , M. Giroletti , M. Beilicke , A. Cesarini , H. Krawczynski

Astrophysical transients with rapid development on sub-hour timescales are intrinsically rare. Due to their short durations, events like stellar superflares, optical flashes from gamma-ray bursts, and shock breakouts from young supernovae…

Edge acceleration for large language models is crucial for their widespread application; however, achieving fast attention inference and efficient decoding on resource-constrained edge accelerators remains challenging. This paper presents…

Hardware Architecture · Computer Science 2026-01-19 Junming Zhang , Qinyan Zhang , Huajun Sun , Feiyang Gao , Sheng Hu , Rui Nie , Xiangshui Miao

Hierarchical VAEs have emerged in recent years as a reliable option for maximum likelihood estimation. However, instability issues and demanding computational requirements have hindered research progress in the area. We present simple…

Machine Learning · Computer Science 2022-04-29 Louay Hazami , Rayhane Mama , Ragavan Thurairatnam
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