专题索引
文章索引
MCC24 Review
MCC24review1
Custom Docker Image
docker-->Ubuntu-->image
Installing Singularity Locally
If you really only want to install Singularity instead of Apptainer, you need to find an older version of Singularity and compile it from source. Here are the general steps for installing Singularity 3.x on an Ubuntu system:
Singularity Practice
Singularity Practice (x86)
Supercomputer Temp
打开「Supercomputer Temp」查看完整内容与上下文。
ASC School Introduction
1.1 Software and Hardware Platforms for Supercomputing
ASC Student Supercomputing Competition 2025
Original English Document
Changing the pip Source
To change the pip source to the Tsinghua mirror, you can follow these steps:
Conda Usage Guide
Conda is an open-source package management and environment management system that can quickly install, run, and update packages and their dependencies. It was originally designed for the Python scientific computing package Anaconda, but is now widely used for various programming languages and applications.
IndySCC24 Competition Cluster Connection Guide
The IndySCC24 competition uses Indiana University's Jetstream2 cluster
C/C++ Conditional Compilation Complete Guide
1. Basic Concepts
CUDA Cache Streaming Optimization Guide
Table of Contents
ASC Cluster Design
Cluster diagram
Fast Convolution Algorithms Explained: img2col vs Winograd vs FFT
Why Do We Need Fast Convolution Algorithms?
Double Buffering Technique in GPU Convolution: Detailed Analysis
打开「Double Buffering Technique in GPU Convolution: Detailed Analysis」查看完整内容与上下文。
Guide to Resolving the conda init Error in Slurm
When submitting jobs with SLURM, you may sometimes encounter the CondaError
GPU Convolution Memory Alignment Documentation
打开「GPU Convolution Memory Alignment Documentation」查看完整内容与上下文。
(2023-11-12) DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication
| Author: Yuechen Lu; Weifeng Liu; |
Installing the Latest Version of a Library with pip
To install the latest version of the transformers library directly using pip, you can use the following command:
How to Add a Custom Anaconda Environment to Jupyter Notebook
This article explains how to add a custom Anaconda environment to Jupyter Notebook, so you can select that environment's kernel in the browser to run Python code.
Rocky Linux Installation Guide
Basic System Configuration
SIMD Convolution Data Reordering Optimization Complete Technical Documentation
Project Background
SWPU Supercomputing Team PPT Template
SWPUPARAPPT