PMPP Chapter 2: Data Parallel Computing
Data Parallelism
When modern software applications run slowly, the problem is usually having too much data to be processed.
* Image
PMPP Chapter 1: Introduction
Traditionally (before 2003), microprocessors are based on single central processing unit (CPU), but due to energy consumption and heat dissipation
Running RStudio in Browser with Docker Containers
Why Use R in Containers?
* Solves system library conflicts - Avoid BLAS/LAPACK mismatches, conflicting system dependencies
* Consistent everywhere -
Programming Massively Parallel Processors
Programming Massively Parallel Processors is an excellent book on GPU programming. Here is the collection of my notes and related
Running NVIDIA and AMD GPUs in a Single K3S Cluster
Modern AI and HPC workloads often require different types of accelerators depending on the specific use case. Running a heterogeneous
My Kubernetes Index
Welcome to my Kubernetes index page!
Here has blog posts I wrote about Kubernetes and resources I found useful when
Building a Highly-Available Kubernetes Cluster on a Mini PC
There is no cloud, it's just someone else's computer.
Managed Kubernetes services (EKS, GKE, AKS) quickly
Coming soon
This is Throughput, a brand new blog by Danxu Zhang that's just getting started. Things will be up