1.1 Platform Introduction
The EDA HPC platform officially entered the trial operation phase in July 2023, with a theoretical computing power reaching 0.26 Pflops (quadrillion calculations per second) at FP64 precision. The computing power consists of 1504 cores of Intel CPUs, 32 NVIDIA A30 GPU cards, accompanied by 34.8PB of memory. The cluster's high-performance network adopts IB 200Gb/s technology, while the high-speed Ethernet uses 25Gb/s, and the parallel file system storage capacity is 1.2PB.
Node Configuration
Node Configuration
| Node Type | Number of Nodes | Main Specifications | CPU Model | Memory Size | GPU Model |
|---|---|---|---|---|---|
| CPU | 10 | 2*Intel(R) Xeon(R) Gold6338 CPU @ 2.0GHz | 1T | / | |
| BMCPU | 10 | 2*Intel(R) Xeon(R) Gold6338 CPU @ 2.0GHz | 2T | / | |
| GPU | 4 | 2*Intel(R) Xeon(R) Gold6348 CPU @ 2.60GHz | 512G | 8*Nvidia A30 |
Software Tools
Software Tools
|------------|-----------------------|-----------------------|--------------------|-------------------| | SYNOPSYS | Design Compiler | FusionCompiler | Formality | ICC2 | | | Library Compiler | PrimeTime | Starrc | VCS | | CADENCE | IC618 | INTEGRAND EMX | Genus | Innovus | | | JasperGold | PVS | Quantus | Spectre | | | OrCad | Xcelium | | | | SIEMENS EDA| Calibre | Modelsim | | | | ANSYS | CFD | Mechanical | Electronics Suite | Lumerical | | Others | Agilent ADS | Agilent SystemVue | Comsol | | | OpenSource | docker jobs | pycharm | vscode | Openfoam | | | anaconda | pytorch | tensorflow | verilator |
📄️ Platform Login
1.1.1 Activate Account