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Hyunwoo_Moon's Projects

42-subjects icon 42-subjects

An essential collection of 42 School curriculum project PDFs in English and French, thoughtfully organized for students navigating the coding universe during 'freeze' periods or self-study sessions. 📖✨

cdlrm icon cdlrm

Enabling pure data parallel training of DLRM via caching and prefetching

deeprecsys icon deeprecsys

http://vlsiarch.eecs.harvard.edu/research/recommendation/

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

dlrm_datasets icon dlrm_datasets

Set of datasets for the deep learning recommendation model (DLRM).

fio icon fio

Flexible I/O Tester

gdrcopy icon gdrcopy

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

hugectr icon hugectr

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

kvikio icon kvikio

KvikIO - High Performance File IO

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

nvmevirt icon nvmevirt

NVMeVirt: A Versatile Software-defined Virtual NVMe Device

opentitan icon opentitan

OpenTitan: Open source silicon root of trust

ramulator icon ramulator

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

ramulator-pim icon ramulator-pim

A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

ssd-gpu-dma icon ssd-gpu-dma

Build userspace NVMe drivers and storage applications with CUDA support

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