C-lupus: Commodity Hadoop Cluster
This project consisted of the assembly and configuration of a commodity hardware cluster running ROCKS and Hadoop for the DEN.
PyGASP: GPU-accelerated Signal Processing
This project created efficient parallel GPU-based algorithms of common transformation operations in signal processing in Python. The included transformations are: discrete wavelet transform (DWT), discrete cosine transform (DCT), and fast fourier transform (FFT).
The software can be found on the Python Package Index. The code for each transformation provides both a sequential and a GPU-acclerated version using Python bindings (PyCUDA) to NVIDIA’s Compute Unified Design Architecture (CUDA).
Re-designing this very website.
Three Dimensional iNteractive Art (3DNA): 3D Imaging
CREW: Grid-Based Project for First Principle Characteristics of Gene Regulatory Networks
- Katherine Lee
- Melissa Copley