Ramulator can be run standalone using traces and a simple core model or can be integrated into gem5 to provide fast memory simulation in a full system simulator. Ramulator is an extensible DRAM simulator providing cycle-accurate performance models for a wide variety of standards: DDR3/4, LPDDR3/4, GDDR5, WIO1/2, HBM, SALP, ALDRAM, TL-DRAM, RowClone, and SARP. "SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies" HPCA, February 2017. Hasan Hassan, Nandita Vijaykumar, Samira Khan, Saugata Ghose, Kevin Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, and Onur Mutlu SoftMC is an experimental FPGA-based memory controller design that can be used to develop tests for DDR3 SODIMMs using a C++ based API. "Ramulator: A Fast and Extensible DRAM Simulator" IEEE Computer Architecture Letters (CAL), March 2015. GPGPUSim-Ramulator modifies GPGPUSim memory hierarchy with Ramulator our cycle-accurate DRAM simulator.īesides citing GPGPUSim, please cite the following accompanying article if you would like to use or build upon the tools: "Mosaic: A GPU Memory Manager with Application-Transparent Support for Multiple Page Sizes" MICRO, October 2017. Rachata Ausavarungnirun, Joshua Landgraf, Vance Miller, Saugata Ghose, Jayneel Gandhi, Christopher J. MosaicĪccurately models virtual-to-physical address translation, TLBs, page tables, and a page table walker. Mosaic is a modification to GPGPUSim that allows execution of concurrent GPGPU applications. "Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms" SIGMETRICS, June 2017. Kevin Chang, Abdullah Giray Yaglikci, Saugata Ghose, Abhijith Kashyap, Hasan Hassan, Aditya Agrawal, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor, Onur Mutlu The Github link to the characterization results of modern DRAM devices under reduced-voltage operation in our SIGMETRICS 2017 paper. "GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies" to appear in BMC Genomics, 2018. Kim, Damla Senol Cali, Hongyi Xin, Donghyuk Lee, Saugata Ghose, Mohammed Alser, Hasan Hassan, Oguz Ergin, Can Alkan, and Onur Mutlu "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" FAST, February 2018.Ī processing-in-memory simulator, which was used to model GRIM-Filter. Please cite the following accompanying article if you would like to use or build upon the tools:Īrash Tavakkol, Juan Gomez-Luna, Mohammad Sadrosadati, Saugata Ghose, and Onur Mutlu A version is available where MQSim is integrated with the gem5 full-system simulator. MQSim is a new simulator that accurately models modern multi-queue SSDs and conventional SATA-based SSDs. SAFARI: Tools, Software, and Full Data Sets Our open-source software projects can be found in
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