lailachitra Goto Github PK
Name: K Chitra
Type: User
Bio: IIT Guwahati
Name: K Chitra
Type: User
Bio: IIT Guwahati
AI and Memory Wall blog post
A simulator integrates ChampSim and Ramulator.
Circuit-level model for the Capacity-Latency Reconfigurable DRAM (CLR-DRAM) architecture.
Source code for the architectural and circuit-level simulators used for modeling the CROW
DRAM Bender is the first open source DRAM testing infrastructure that can be used to easily and comprehensively test state-of-the-art DDR4 modules of different form factors. Five prototypes are available on different FPGA boards. Described in our preprint: https://arxiv.org/pdf/2211.05838.pdf
A survey of manufacturer-provided DRAM operating parameters and timings as specified by DRAM chip datasheets from between 1970 and 2021. This data and its analysis are described in the 2022 paper by Patel et al.: https://arxiv.org/abs/2204.10378
Fast and accurate DRAM power and energy estimation tool
DRAMSys a SystemC TLM-2.0 based DRAM simulator.
MSci project on DVFS, energy savings, and scheduling in Assymetric Multicore Processors (AMPs), using the gem5 simulator.
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
The source code for GPGPUSim+Ramulator simulator. In this version, GPGPUSim uses Ramulator to simulate the DRAM. This simulator is used to produce some of the results in our SIGMETRICS 2019 paper: Ghose et al., "Demystifying Complex Workload-DRAM Interactions: An Experimental Study" at https://arxiv.org/pdf/1902.07609.pdf.
Benchmark suite containing cache filtered traces for use with Ramulator. These include some of the workloads used in our SIGMETRICS 2019 paper: Ghose et al., "Demystifying Complex Workload-DRAM Interactions: An Experimental Study" at https://arxiv.org/pdf/1902.07609.pdf.
Source code for the architectural simulator used for modeling the PUD system proposed in our HPCA 2024 paper `MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Processing''. Paper is at: https://arxiv.org/pdf/2402.19080.pdf
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
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
Ramulator 2.0 is a modern, modular, extensible, and fast cycle-accurate DRAM simulator. It provides support for agile implementation and evaluation of new memory system designs (e.g., new DRAM standards, emerging RowHammer mitigation techniques). Described in our paper https://people.inf.ethz.ch/omutlu/pub/Ramulator2_arxiv23.pdf
Joint HPS and ETH Repository to work towards open sourcing Scarab and Ramulator
A minimal GPU design in Verilog to learn how GPUs work from the ground up
A cycle-accurate simulator that models a hybrid memory subsystem consisting of multiple memory technologies. Described in the CLUSTER 2017 paper by Li et al. (https://people.inf.ethz.ch/omutlu/pub/utility-based-hybrid-memory-management_cluster17.pdf)
An open-source DRAM power model based on extensive experimental characterization of real DRAM modules. Described in the SIGMETRICS 2018 paper by Ghose et al. (https://people.inf.ethz.ch/omutlu/pub/VAMPIRE-DRAM-power-characterization-and-modeling_sigmetrics18_pomacs18.pdf)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.