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AMTE – Asynchronous Many-Task Systems for Exascale
Quantifying Overheads in Charm++ and HPX using Task Bench
A Portable and Heterogeneous LU Factorization on IRIS
Halide Code Generation Framework in Phylanx
DSL-HPC – Domain Specific Languages for High-Performance Computing
Exploring the suitability of the Cerebras Wafer Scale Engine for stencil-based computation codes
Performance of the Vipera framework for DSLs on micro-core architectures
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries
HeteroPar – Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms
Programming Heterogeneous Architectures Using Hierarchical Tasks
A C++ library for memory layout and performance portability of scientific applications
Implementation and Performance Evaluation of Memory System using Addressable Cache for HPC applications on HBM2 equipped FPGAs
Programming abstractions for preemptive scheduling in FPGAs using partial reconfiguration
Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems
Mapping Tree-shaped Workflows on Memory-heterogeneous Architectures
Hetero-Vis: A Framework for Latency Optimized Deployment of Convolutional Neural Networks on Heterogeneous Architectures
Rapid development of OS support with PMCSched for scheduling on asymmetric multicore systems
HIPLZ: Enabling Performance Portability for Exascale Systems
StorAlloc: A Simulator for Job Scheduling on Heterogeneous Storage Resources
Performance and scalability analysis of AI-accelerated CFD simulations across various computing platforms
Miscellaneous Workshops
Performance Portability Assessment: Non-negative Matrix Factorization as a case study
Task-level Checkpointing System for Task-based Parallel Workflows
Euro-Par PhD Symposium
A Stochastic Programming Approach for an Enhanced Performance of a Multi-committees Byzantine Fault Tolerant Algorithm
Coupe: a modular, multi-threaded mesh partitioning platform
Preliminary study of resource allocation in wireless communications
Benchmarking Parallelism in Unikernels
Machine Learning methodologies to support HPC systems operations: Anomaly detection
FPGAs in supercomputers: performance through dataflow programming and flexibility.

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