Okabe Maho (IronySuzumiya)

IronySuzumiya

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Location:Wuhan

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Okabe Maho's repositories

MQSim

MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)

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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

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SimpleSSD

Open-Source Licensed Educational SSD Simulator for High-Performance Storage and Full-System Evaluations

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SimpleSSD-FullSystem

Open-Source Licensed Educational SSD Simulator for High-Performance Storage and Full-System Evaluations

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SimpleSSD-Standalone

Open-Source Licensed Educational SSD Simulator for High-Performance Storage and Full-System Evaluations

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Catch2

A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)

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CIFAR-ZOO

PyTorch implementation of CNNs for CIFAR benchmark

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cnpy

library to read/write .npy and .npz files in C/C++

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DiskANN

Scalable graph based indices for approximate nearest neighbor search

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DRAMsim3

DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator

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Ginex

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching

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GraphAIBench

A benchmark suite for Graph Machine Learning

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IU-GCN_sim

the Island Locator of IGCN

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marius

Large scale embeddings on a single machine.

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ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

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OpenKE

An Open-Source Package for Knowledge Embedding (KE)

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pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

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pytorx

Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory

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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

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ROC

Distributed Multi-GPU GNN Framework

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SSDSim

Simulator for HDD/SSD, derived from the CMU PDL DiskSim, with the SSD-add-on patch from Microsoft Research applied.

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zsim

A fast and scalable x86-64 multicore simulator

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