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浙江工商大学信息与电子工程学院2021-2022第二学期 “互联”学术沙龙第一期——High Performance Computing
浙江工商大学信息与电子工程学院 互联 学术沙龙 高性能计算
2022/12/29
高性能计算(High Performance Computing， 缩写HPC) 指通常使用很多处理器（作为单个机器的一部分）或者某一集群中组织的几台计算机（作为单个计算资源操作）的计算系统和环境。有许多类型的HPC 系统，其范围从标准计算机的大型集群，到高度专用的硬件。“Supercomputer”一词最早出现于 1929年，《纽约世界报》一则关于 IBM 为哥伦比亚大学建造大型报表机(tabu...
High-performance computing is needed for an ever-growing number of tasks — such as image processing or various deep learning applications on neural nets — where one must plow through immense piles of ...
2017高性能计算与仿真国际会议（2017 International Conference on High Performance Computing & Simulation）(HPCS)
会议 2017年 高性能计算与仿真
2017/6/22
The conference will include invited presentations by experts from academia, industry, and government as well as contributed paper presentations describing original work on the current state of researc...
2017 软件工程方法并行和高性能应用研讨会（Workshop on Software Engineering Methods for Parallel and High Performance Applications） (SEM4HPC)
2017年 软件工程方法并行和高性能应用 研讨会
2017/6/21
Modern platforms, composed of multicore CPUs coupled with accelerators such as graphics processing units (GPUs) or Intel Xeon Phis, are now widely used in high performance computing to address the cha...
第26届高性能并行和分布式计算国际研讨会（The 26th International Symposium on High-Performance Parallel and Distributed Computing）
第26届 高性能并行和分布式计算 研讨会
2017/6/21
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluat...
2017年第13届IEEE国际高性能电力感知计算研讨会（The 13rd IEEE International Workshop on High-Performance, Power-Aware Computing）
2017年 第13届 IEEE 国际高性能电力感知计算 研讨会
2017/5/24
Power and energy are now recognized as first-order constraints in high-performance
computing. Optimizing performance under power and energy bounds requires coordination across not only the software ...
2017第十三届高性能，电力感知计算研讨会（The 13th Workshop on High-Performance, Power-Aware Computing）
2017 第十三届 高性能 电力感知计算 研讨会
2017/4/25
Power and energy are now recognized as first-order constraints in high-performance computing. Optimizing performance under power and energy bounds requires coordination across not only the software st...
Stanford researchers create a high-performance,low-energy artificial synapse for neural network computing
Stanford researchers high-performance low-energy artificial synapse neural network computing
2017/3/14
For all the improvements in computer technology over the years, we still struggle to recreate the low-energy, elegant processing of the human brain. Now, researchers at Stanford University and Sandia ...
2017ACM高性能编译,计算和通信国际会议（2017 International Conference on High Performance Compilation,Computing and Communications）
2017 ACM高性能编译,计算和通信 国际会议
2017/1/10
You are cordially invited to join us at the International Conference on High Performance Compilation, Computing and Communications (HP3C-2017) in Kuala Lumpur, Malaysia during March 22-24, 2017.
Titanium is a language and system for high-performance parallel scientific computing. Titanium uses Java as its base, thereby leveraging the advantages of that language and allowing us to focus attent...
High-performance computing applications, such as auto-tuners and domain-specific languages, rely on generative programming techniques to achieve high performance and portability. However, these system...
Singe: Leveraging Warp Specialization for High Performance on GPUs
warp specialization warp-specializing compiler GPU DSL
2016/5/24
We present Singe, a Domain Specific Language (DSL) compiler for combustion chemistry that leverages warp specialization to produce high performance code for GPUs. Instead of relying on traditional GPU...
First-class Runtime Generation of High-performance Types using Exotypes
First-class Runtime Generation High-performance Types Exotypes
2016/5/24
We introduce exotypes, user-defined types that combine the flexibility of meta-object protocols in dynamically-typed languages with the performance control of low-level languages. Like objects in dyna...
M3: High-Performance Memory Management from Off-the-Shelf Components
Memory Management Garbage Collection Tracing Mark-Sweep Reference Counting
2016/5/24
Real-world garbage collectors in managed languages are complex.We investigate whether this complexity is really necessary and show that by having a different (but wider) interface between the collecto...
Temperature control of high-performance multi-core platforms using convex optimization
Thermal-aware design temperature control dynamic frequency scaling static and dynamic optimization
2015/8/10
With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperature. Temperature gradi...