JUWELS: Modular Tier-0/1 Supercomputer at the Jülich Supercomputing Centre

JUWELS is a multi-petaflop modular supercomputer operated by Jülich Supercomputing Centre at Forschungszentrum Jülich as a European and national supercomputing resource for the Gauss Centre for Supercomputing. In addition, JUWELS serves the Earth system modeling community within the Helmholtz Association. The first module deployed in 2018, is a Cluster module based on the BullSequana X1000 architecture with Intel Xeon Skylake-SP processors and Mellanox EDR InfiniBand. An extension by a second Booster module is scheduled for deployment in 2020

JURECA: Modular supercomputer at Jülich Supercomputing Centre

JURECA is a petaflop-scale modular supercomputer operated by Jülich Supercomputing Centre at Forschungszentrum Jülich. The system combines a flexible Cluster module, based on T-Platforms V-Class blades with a balanced selection of best of its kind components, with a scalability focused Booster module, delivered by Intel and Dell EMC based on the Xeon Phi many-core processor. With its novel architecture, it supports a wide variety of high-performance computing and data analytics workloads

JURECA: General-purpose supercomputer at Jülich Supercomputing Centre

JURECA is a petaflop-scale, general-purpose supercomputer operated by Jülich Supercomputing Centre at Forschungszentrum Jülich. Utilizing a flexible cluster architecture based on T-Platforms V-Class blades and a balanced selection of best of its kind components the system supports a wide variety of high-performance computing and data analytics workloads and offers a low entrance barrier for new users.New version available: Jülich Supercomputing Centre. (2018). JURECA: Modular supercomputer at Jülich Supercomputing Centre. Journal of large-scale research facilities, 4, A132. http://dx.doi.org/10.17815/jlsrf-4-121-

JUST: Large-Scale Multi-Tier Storage Infrastructure at the Jülich Supercomputing Centre

JUST is a versatile storage infrastructure operated by the Jülich Supercomputing Centre at Forschungszentrum Jülich. The system provides high-performance and high-capacity storage resources for the supercomputer facility. Recently, additional storage and management services, addressing demands beyond the high-performance computing area, have been added. In support of its mission, JUST consists of multiple storage tiers with different performance and functional characteristics to cover the entire data lifecycle

Updates on the hematologic tumor microenvironment and its therapeutic targeting.

In this review article, we present recent updates on the hematologic tumor microenvironment following the 3rd Scientific Workshop on the Haematological Tumour Microenvironment and its Therapeutic Targeting organized by the European School of Hematology, which took place at the Francis Crick Institute in London in February 2019. This review article is focused on recent scientific advances highlighted in the invited presentations at the meeting, which encompassed the normal and malignant niches supporting hematopoietic stem cells and their progeny. Given the precise focus, it does not discuss other relevant contributions in this field, which have been the scope of other recent reviews. The content covers basic research and possible clinical applications with the major therapeutic angle of utilizing basic knowledge to devise new strategies to target the tumor microenvironment in hematologic cancers. The review is structured in the following sections: (i) regulation of normal hematopoietic stem cell niches during development, adulthood and aging; (ii) metabolic adaptation and reprogramming in the tumor microenvironment; (iii) the key role of inflammation in reshaping the normal microenvironment and driving hematopoietic stem cell proliferation; (iv) current understanding of the tumor microenvironment in different malignancies, such as chronic lymphocytic leukemia, multiple myeloma, acute myeloid leukemia and myelodysplastic syndromes; and (v) the effects of therapies on the microenvironment and some opportunities to target the niche directly in order to improve current treatments

2021 DePaul University Library and Art Museum Climate Survey Report

In the fall of 2021, the DePaul University Library and Art Museum’s IDEA (Inclusion, Diversity, Equity, Accessibility) Committee decided to conduct a survey of the library’s climate to establish a baseline for its work. The survey was sent to all full and part-time library staff and ran for six weeks. One of the goals of the IDEA committee is to bring awareness of implicit biases, micro-aggressions, exclusionary practices, and structural racism and discrimination within Library and Art Museum operations, environment, and culture; to review, audit and propose internal polices and processes for the Library and Art Museum to implement IDEA and related principles. The aim of the 2022 climate survey was to establish a baseline for this work. The survey results will be used to inform what organizational changes, training, and programs will be most beneficial to the library staff. After looking at various tools used by other businesses and universities, the IDEA subcommittee performing the survey and writing the report decided to work with the tool developed by the University of Maryland Libraries (https://drum.lib.umd.edu/handle/1903/17439) to survey its staff. The survey was adapted to account for the different nature of the University of Maryland libraries – private vs. public, baccalaureate/masters vs. major research institution, etc. As a condition of using this survey, DePaul University Library and Art Museum must post its version of the survey and this report to the university’s institutional repository

Scalable space-time adaptive simulation tools for computational electrocardiology

This work is concerned with the development of computational tools for the solution of reaction-diffusion equations from the field of computational electrocardiology. We designed lightweight spatially and space-time adaptive schemes for large-scale parallel simulations. We propose two different adaptive schemes based on locally structured meshes, managed either via a conforming coarse tessellation or a forest of shallow trees. A crucial ingredient of our approach is a non-conforming mortar element discretization which is used to glue together individually structured meshes by means of constraints. For the solution of variational problems in the proposed trial spaces we investigate two diametrically opposite approaches. First, we discuss the implementation of a matrix-free scheme for the solution of the monodomain equation on patch-wise adaptive meshes. Second, an approach to the construction of standard linear algebra data structures on tree-based meshes is considered. In particular, we address the element-wise assembly of stiffness matrices on constrained spaces via an algebraic representation of the inclusion map. We evaluate the performance of our adaptive schemes for small- and large-scale problems and demonstrate their applicability to the design of realistic large-scale heart models. In order to enable local time stepping in the context of (semi-)implicit integration schemes, we present a space-time discretization based on the proposed lightweight adaptive mesh data structures. By means of a discontinuous Galerkin method in time, the solution of the linear or non-linear system of equations is reduced to a sequence of smaller systems of adjustable size. We discuss the stabilization of the arising discrete problems and present extensive numerical evaluations of the space-time adaptive solution of the (1+1)-, (2+1)- and (3+1)-dimensional heat equation as well as the monodomain reaction-diffusion equation. Our results show both feasibility and potential of adaptive space-time discretizations for the solution of reaction-diffusion equations in computational electrocardiology