miglopst's repositories
cs263_spring2018
class project for cs263, Spring 2018
ramulator_modify
added support for HBM2 and Hybrid memory
fathom
Reference workloads for modern deep learning methods.
gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
IMPICA
This is a processing-in-memory simulator which models 3D-stacked memory within gem5. Also includes the workloads used for IMPICA (In-Memory PoInter Chasing Accelerator), an ICCD 2016 paper by Hsieh et al. at https://users.ece.cmu.edu/~omutlu/pub/in-memory-pointer-chasing-accelerator_iccd16.pdf
miglopst.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
models
Models and examples built with TensorFlow
NOVA
NOVA: NOn-Volatile memory Accelerated log-structured file system
nvml
Active development tree for the NVM Library
tensorflow
Computation using data flow graphs for scalable machine learning
ThyNVM
ThyNVM: Transparent hybrid NonVolatile Memory
YCSB
Yahoo! Cloud Serving Benchmark