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We are always interested in offering a valuable research vehicle to understand how the evolution of emerging non-volatile memory technologies and massively parallel chip architectures can be guided by close-coupled feedback with the design of the application, algorithms, and hardware together. So far, we built up several hardware prototypes, FPGA-based memory controllers and simulation frameworks that capture low-level memory characteristics.

CAMEL's Open Source Licence Software

  • SimpleSSD -- Open-Source Licenced Educational SSD Simulatior for High-Performance Storage and Full-System Evaluations

SimpleSSD is a high-fidelity SSD simulation framework designed towards an educational purpose. It builds up a complete storage stack from scratch, models all detailed characteristics of SSD internal hardware and software, provides promising simulation speed, and can be integrated into publicly-available full system simulators. We have verified our simulation framework with commercial SSD and our experiments demonstrate high accuracy of simulation results.

  • OpenNVM [ download ] -- An Open-Sourced FPGA-based NVM Controller for Low Level Memory Characterization

Our OpenNVM can cope with diversified memory transactions and cover a variety of evaluation workloads without any FPGA logic block updates. In our design, while evaluation scripts are managed by a host, all the NVM-related transactions are handled by our FPGA-based NVM controller connected to the hardware circuit board that can accommodate different types of NVM product and our custom-made power measurement board. This open scheme has been developed to generate exhaustive, empirical data of emerging non-volatile memory in a configured, programmable FPGA based hardware prototype in order to serve the area in research on memories especially non-volatile type.

A cycle-accurate and hardware-validated NAND flash simulation model (open source project). NANDFlashSim is a flash simulation model, decoupled from specific flash firmware and supports detailed NAND flash transactions with cycle accuracy. This low-level simulation framework can enable research on the NAND flash memory system itself as well as many NAND flash-based devices such as Flash-based SSD, eMMC, CF memory card, mobile NAND flash mediums etc. We have been evaluated a hundred thousands of NANDFlashSim instances on NERSC Hopper and Carver supercomputers. You can download source code from code.

Storage traces are widely used for storage simulation and system evaluation. Since high performance SSD, flash array and NVM systems exhibit different I/O timing behaviors, the traditional traces need to be revised or collected on relatively modern systems. To address this, we are collecting different types of traces with many different combinations of devices and systems. Our trace repository distributes traces collected on Kandemir, Wilson, John and Donofrio machines under different types of parallel file systems such as lustre and ceph. Hope that we can secure more traces, which can help storage system and architecture communities to make better and easy-to-reproduce research.

System C based DRAM simulation model, which leverages DRAMSim's memory transaction level interfaces. This model enables DRAMSim2 to be integrated with comprehensive pin-level system simulation models like Tensilica's Xtensa. You can download the source code from code.

Solid State Drive Simulator/Emulator

  • FLASHWOOD -- Comprehensive Large-scale NVRAM Storage Simulation Framework

In this simulation framework, NVRAM software stack on multi-channel architecture are fully implemented, and diverse parameters/algorithms are reconfigurable (e.g., buffer cache, NVMHCIs, flash drivers, flash translation layers, physical layouts). Hardware components are emulated in a cycle-level by multiple NANDFlashSim instances, DRAM simulation instances, and virtual channel and controller modules. Flashwood can also evaluate dynamic energy and power consumption by catching all the different components' activities. The code for the flash software in the framework and device simulation code are around two hundreds thousand of lines and ten thousand of lines, respectively.

  • CoDEN -- A Hardware/Software CoDesign Emulation Platform for SSD-Accelerated Near Data Processing

CoDEN is a novel hardware/software co-design emulation platform, which not only offers flexible/scalable design space that can employ a broad range of SSD controller and firmware policies, but also capture the details of entire software/hardware stacks for SSD-accelerated near data processing. Our CoDEN can be connected to a host through PCI Express (PCIe) interface, a high performance memory bus, and recognized by the host as a real SSD storage device.

  • ASURA -- SSD emulation kernel driver

The SSD emulation kernel driver provides a logical volume to native file systems (e.g., Windows NTFS, EXT4) as a pseudo SSD device. Virtual channels and cycle-level NAND flash simulation instances of Asura model the actual runtime in cycle accurate by hooking kernel I/O dispatch routines. To enable large-scale SSD emulation, the driver only stores metadata of kernel modules, data of flash firmware and device simulation models -- omits actual data contents. In addition, Asura can be initiated as multiple driver instances in order to emulate an SSD RAID system. Asura has been implemented by a filter driver (WDM) for Windows (NTFS) and loadable kernel module for Linux (EXT4).