Browsing by Author "Mantovani, Filippo"
Now showing items 1-20 of 29
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A generic performance analysis technique applied to different CFD methods for HPC
(Taylor & Francis, 2020-07-16)
Article
Open AccessFor complex engineering and scientific applications, Computational Fluid Dynamics (CFD) simulations require a huge amount of computational power. As such, it is of paramount importance to carefully assess the performance ... -
Advanced Performance Analysis of HPC Workloads on Cavium ThunderX
(IEEE, 2018)
Conference lecture
Open AccessThe interest towards Arm based platforms as HPC solutions increased significantly during the last 5 years. In this paper we show that, in contrast to the early days of pioneer tests, several application performance analysis ... -
Benchmarking of state-of-the-art HPC clusters with a production CFD code
(Association for Computing Machinery (ACM), 2020)
Conference report
Open AccessComputing technologies populating high-performance computing (HPC) clusters are getting more and more diverse, offering a wide range of architectural features. As a consequence, efficient programming of such platforms ... -
Cluster of emerging technology: evaluation of a production HPC system based on A64FX
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessClusters of emerging technologies are appearing with more and more frequency in HPC. After years of skepticism, data-centers are adopting them as production systems thanks to several geopolitical and technological factors. ... -
Computational Fluid and Particle Dynamics Simulations for Respiratory System: Runtime Optimization on an Arm Cluster
(Association for Computing Machinery (ACM), 2018-08-13)
Conference lecture
Open AccessComputational fluid and particle dynamics simulations (CFPD) are of paramount importance for studying and improving drug effectiveness. Computational requirements of CFPD codes involves high-performance computing (HPC) ... -
Containers in HPC: a scalability and portability study in production biological simulations
(Barcelona Supercomputing Center, 2019-05-07)
Conference report
Open Access -
CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessThe simulation of detailed neuronal circuits is based on computationally expensive software simulations and requires access to a large computing cluster. The appearance of new Instruction Set Architectures (ISAs) in most ... -
Design Space Exploration of Next-Generation HPC Machines
(2019)
Research report
Open AccessThe landscape of High Performance Computing (HPC) system architectures keeps expanding with new technologies and increased complexity. With the goal of improving the efficiency of next-generation large HPC systems, ... -
Design space exploration of next-generation HPC machines
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - confidentiality agreementThe landscape of High Performance Computing (HPC) system architectures keeps expanding with new technologies and increased complexity. With the goal of improving the efficiency of next-generation large HPC systems, designers ... -
Efficient CFD code implementation for the ARM-based Mont-Blanc architecture
(Elsevier, 2017-09-20)
Article
Open AccessSince 2011, the European project Mont-Blanc has been focused on enabling ARM-based technology for HPC, developing both hardware platforms and system software. The latest Mont-Blanc prototypes use system-on-chip (SoC) devices ... -
Efficient CFD code implementation for the ARM-based Mont-Blanc architecture
(Elsevier, 2018-02)
Article
Open AccessSince 2011, the European project Mont-Blanc has been focused on enabling ARM-based technology for HPC, developing both hardware platforms and system software. The latest Mont-Blanc prototypes use system-on-chip (SoC) devices ... -
Efficiently running SpMV on long vector architectures
(Association for Computing Machinery (ACM), 2021)
Conference report
Restricted access - publisher's policySparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV to ... -
Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems
(Springer, 2018-03-23)
Conference lecture
Open AccessDriven by the emerging requirements of High Performance Computing (HPC) architectures, the main focus of this work is the interplay of computational and energetic aspects of a Four Dimensional Variational (4DVAR) Data ... -
Exploration of architectural parameters for future HPC systems
(Barcelona Supercomputing Center, 2019-05-07)
Conference report
Open Access -
Filling the gap between education and industry: evidence-based methods for introducing undergraduate students to HPC
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference lecture
Open AccessEducational institutions provide in most cases basic theoretical background covering several computational science topics, however High Performance Computing (HPC) and Parallel and Distributed Computing (PDC) markets require ... -
Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset
(IOS Press, 2018)
Conference lecture
Open AccessThis paper presents and analyzes a heterogeneous implementation of an industrial use case based on K-means that targets symmetric multiprocessing (SMP), GPUs and FPGAs. We present how the application can be optimized from ... -
Is Arm software ecosystem ready for HPC?
(2017-11-14)
Conference lecture
Open AccessIn recent years, the HPC community has increasingly grown its interest towards the Arm architecture with research projects targeting primarily the installation of Arm-based clusters. State of the art research project ... -
Multi-Node Advanced Performance and Power Analysis with Paraver
(IOS Press, 2018)
Conference lecture
Open AccessPerformance analysis tools allow application developers to identify and characterize the inefficiencies that cause performance degradation in their codes. Due to the increasing interest in the High Performance Computing ... -
Optimizing sparse matrix-vector multiplication in NEC SX-Aurora vector engine
(2020-06-26)
Research report
Open AccessSparse Matrix-Vector multiplication (SpMV) is an essential piece of code used in many High Performance Computing (HPC) applications. As previous literature shows, achieving efficient vectorization and performance in modern ... -
Optimizing the SpMV kernel on long-vector accelerators
(Barcelona Supercomputing Center, 2021-05)
Conference report
Open AccessSparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV ...
