High Performance Computing

2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) .- From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File Systems.- Malleable techniques and resource scheduling to improve energy efficiency in parallel applications.- Towards Achieving Transparent Malleability Thanks to MPI Process Virtualization.- A Case Study on PMIx-usage for Dynamic Resource Management.- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications.- Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications.- Towards Smarter Schedulers: Molding Jobs into the Right Shape via Monitoring and Modeling.- 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) .- Improving live migration efficiency in QEMU: a paravirtualized approach.- Performance losses with virtualization: Comparing bare metal to VMs and containers.- Real-Time Unikernels: a First Look.- Accelerating Scientific Applications with the Quantum Edge: a Drug Design Use Case.- Event-Driven Chaos Testing For Containerized Applications.- HPC I/O in the Data Center (HPC IODC) .- Analyzing Parallel Applications for Unnecessary I/O Semantics That Inhibit File System Performance.- Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC'23) .- Running Kubernetes Workloads on HPC.- A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow.- Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray.- Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC.- Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim.- 7th International Workshop on In Situ Visualization (WOIV'23) .- Inshimtu - A Lightweight In Situ Visualization "Shim".- Catalyst-ADIOS2: in transit analysis for numerical simulations using Catalyst 2 API.- A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis.- Workshop on Monitoring and Operational Data Analytics (MODA23) .- Automatic Detection of HPC Job Inefficiencies at TU Dresden's HPC center with PIKA.- ML-based methodology for HPC facilities supervision.- A Fast Simulator to Enable HPC Scheduling Strategy Comparisons.- 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures .- Application Performance Analysis: a Report on the Impact of Memory Bandwidth.- DAOS beyond Persistent Memory: Architecture and Initial Performance Results.- Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration.- Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators.- An Earlier Experiences towards Optimizing Apache Spark over Frontera Supercomputer.- Bandwidth Limits in the Intel Xeon Max (Sapphire Rapids with HBM) Processors.- First International Workshop on RISC-V for HPC .- Test-driving RISC-V Vector hardware for HPC.- Backporting RISC-V Vector assembly.- Functional Testing with STLs: A Step Towards Reliable RISC-V-based HPC Commodity Clusters.- Challenges and Opportunities for RISC-V Arquitectures towards Genomics-based Workloads.- Optimizations for Very Long and Sparse Vector Operations on a RISC-V VPU : A Work-in-progress.- Performance Modelling-driven Optimization of RISC-V Hardware for Efficient SpMV.- Prototyping reconfigurable RRAM-based AI accelerators using the RISC-V ecosystem and Digital Twins.- Optimization of the FFT algorithm on RISC-V CPUs.- Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study.- Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware.- Accelerating Neural Networks using Open Standard Software on RISC-V.- Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) .- From Desktop to Supercomputer: Computational Fluid Dynamics Augmented by Molecular Dynamics using MaMiCo and preCICE.- Open OnDemand Connector for Amazon Elastic Kubernetes Service.- HPC on Heterogeneous Hardware (H3) .- GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal.- An Investigation into the Performance and Portability of SYCL Compiler Implementations.- Observed Memory Bandwidth and Power Usage on FPGA Platforms with oneAPI and Vitis HLS: A Comparison with GPUs.- Evaluating Quantum Algorithms for Linear Algebra Workflows.- Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads.- OpenACC unified programming environment for multi-hybrid acceleration with GPU and FPGA.