Titlebook: Supercomputing Frontiers; 4th Asian Conference Rio Yokota,Weigang Wu Conference proceedings‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and

极力证明

0302-9743 ing Frontiers will be rebranded as Supercomputing Frontiers Asia (SCFA), which serves as the technical programme for SCA18. The technical programme for SCA18 consists of four tracks: .Application, Algorithms & Libraries.Programming System Software.Architecture, Network/Communications & Management.Da

尽忠

Robust

怪物

HHVSF: A Framework to Accelerate Drug-Based High-Throughput Virtual Screening on High-Performance Coigh-performance computers. Task management and data management are two core components in HHVSF. Fine-grained computing resources are configured to support serial or threaded applications. Each task gets the input file from database through a preemptive algorithm and the failed tasks can be found an

保留

tackle

DETOUR: A Large-Scale Non-blocking Optical Data Center Fabrics, which effectively eliminates the potential hotspot caused by over-subscription. However, the evolving traffics with high fan-out and various patterns pose new challenges to optical DCNs. Prior solutions are either hard to support high fan-out communications in large-scale or suffer from limited c

玩忽职守

Oligarchy

On the Performance of Spark on HPC Systems: Towards a Complete Picturege-scale data analysis. However, with the growing needs of users and size of data, commodity-based infrastructure will strain under the heavy weight of Big Data. On the other hand, HPC systems offer a rich set of opportunities for Big Data processing. As first steps toward Big Data processing on HPC

使迷惑

Experiences of Converging Big Data Analytics Frameworks with High Performance Computing Systemso support big data analytics workloads. However, due to the different workload characteristics and optimization objectives of system architectures, migrating data-intensive applications to HPC systems that are geared for traditional compute-intensive applications presents a new challenge. In this pa

Charitable

MACC: An OpenACC Transpiler for Automatic Multi-GPU Useng a programming model such as (amongst others) the directive-driven OpenACC. Unfortunately, OpenACC (and other similar models) are incapable of automatically targeting and distributing work across several GPUs, which decreases productivity and forces needless manual labor upon programmers. We propo