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The CMS experiment at the CERN LHC

The Compact Muon Solenoid (CMS) detector is described. The detector operates at the Large Hadron Collider (LHC) at CERN. It was conceived to study proton-proton (and lead-lead) collisions at a…
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NVIDIA Tensor Core Programmability, Performance & Precision

It is found that NVIDIA Tensor Cores can deliver up to 83 Tflops/s in mixed precision on a Tesla V100 GPU, seven and three times the performance in single and half precision respectively.
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Programming the Grid with gLite

The middleware (gLite) and services deployed on the EGEE Grid infrastructure are described and how applications can interface to them are explained.
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Perspectives on grid computing

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Performance Tools for the Grid: State of the Art and Future

This white paper is aimed at creating a directory of existing performance monitoring and evaluation tools, with detailed categorization, that helps grid users, developers, and administrators in finding an appropriate tool according to their requirements.

Replica Management in Data Grids

The architecture and design of a Replica Management System, called Reptor, is described within the context of the EU Data Grid project, and a prototype implementation is currently under development.

A taxonomy of task-based parallel programming technologies for high-performance computing

This paper provides an initial task-focused taxonomy for HPC technologies, which covers both programming interfaces and runtime mechanisms and demonstrates the usefulness of the taxonomy by classifying state-of-the-art task-based environments in use today.
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Nekbone performance on GPUs with OpenACC and CUDA Fortran implementations

A hybrid GPU implementation and performance analysis of Nekbone, which represents one of the core kernels of the incompressible Navier–Stokes solver Nek5000, is presented, which significantly minimizes the modification of the existing CPU code while extending the simulation capability of the code to GPU architectures.
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RTHMS: a tool for data placement on hybrid memory system

This work argues that intelligent, fine-grained data placement can achieve higher performance than default setups and presents an algorithm for data placement on hybrid-memory systems, based on a set of single-object allocation rules and global data placement decisions.
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Interoperation of world‐wide production e‐Science infrastructures

The Grid Interoperation Now—Community Group of the Open Grid Forum—organizes and manages interoperation efforts among those production Grid infrastructures to reach the goal of a world‐wide Grid vision on a technical level in the near future.
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