Description
Book SynopsisPreface of the European Workshop on Quantum Computing for High-Performance Computing.- Hybrid Quantum Computing: the Use Case of Shor's Algorithm.- A Quantum Emulation Workbench for Benchmark Construction and Application Development.- TNBS: A Kernel-Based Benchmarking for Digital Quantum Computers.- Variational Quantum Eigensolver for Classi?cation in Distributed Data Sets.- LazyQML: A Python library to benchmark Quantum Machine Learning models.- Optimizing a quantum BCD Adder in terms of T-gates and CNOT gates.- Factoring integers via Schnorr's algorithm assisted with VQE.- Adiabatic training for Variational Quantum Algorithms.- Quantum Compilation Process: a Survey.- 19th International Workshop on Virtualization in High-Performance Cloud Computing (VHPC 2024).- An Investigation of the Linux Virtual Networking Latencies.- Performance Implications of SEV Virtual Machine Live Migration.- Boosting Serverless Computing: A Survey on Architecture Designs and Accelerator Support for Serverless Platforms.- LLMs for Virtualized Networking Infrastructures: An Industrial Report.- Towards Using Partitioned GPU Virtual Functions for Mixture of Experts.- International Workshop in High-Performance Computing in Physics (PHYSHPC).- Runtime Instantiation of Kernels for Fast Fourier Transforms Using SYCL Specialization Constants.- Towards Large-scale Top-Down Microarchitecture Analysis Using the Score-P Framework.- Coalescing MPI communication in 6D Vlasov simulations: solving ghost domains in Vlasiator.- Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis.- Workshop proceedings.- Lessons Learned and Scalability Achieved When Porting Uintah to DOE Exascale Systems.- Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust.- Investigating the Performance Difference of Task Communication via Futures or Side Effects.- GVEL: Fast Graph Loading in Edgelist and Compressed Sparse Row (CSR) formats.- Workshop preface.- Dynamic Resource Manager for Automating Deployments in the Computing Continuum.- Parallel Efficiency-aware Standard MPI-based Malleability.- The Impact of Evolving APGAS Programs on HPC Clusters.- Malleability in the Expand Ad-Hoc parallel file system.- Evaluation of a Dynamic Resource Management Strategy for Elastic Scientific Workflows.- MaM: A User-Friendly Interface to Incorporate Malleability into MPI Applications.- Towards a Scale Invariant Syntax for Dynamic Job-Level Workflows.- 22nd International Workshop on Algorithms, Models, and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2024).- StarONNX: a Scheduler for Efficient Inference on Heterogeneous Resources.- Strategies for memory management improvement in deep learning algorithms for contrast enhancement of high-resolution radiological images.- Computing DTWs on CPU, GPU and FPGA with SYCL.- Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL.- A Practical Survey on Static Task Scheduling Optimization Approaches for Heterogeneous Architectures.- Element scheduling for GPU-accelerated finite-volumes computations.- Containerization for Heterogeneous and Hybrid Parallelism.- A Chapel-based Multi-GPU Branch-and-Bound Algorithm.- Accelerating Scientific Computing Kernels by Fusing the Polyhedral and Tensor Compilers.- Exploring the Limits of Cross-Platform Sparse Tensor Processing.
