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DESTINY : 3D dEsign-Space exploraTIon Tool for SRAM, eDRAM and Non-volatile memorY Oak Ridge National Laboratory Penn State University University of California, Santa Barbara https://code.ornl.gov/3d_cache_modeling_tool/destiny destiny-help@elist.ornl.gov 20 Feb 2015 ### Overview DESTINY is an acronym for 3D dEsign-Space exploraTIon Tool for SRAM, eDRAM and Non-volatile memorY. In its purpose, DESTINY is similar to CACTI, CACTI-3DD or NVSim. DESTINY is a tool for modeling both 2D and 3D caches designed with five prominent memory technologies: SRAM, eDRAM (embedded DRAM), PCM (or PCRAM), STT-RAM (or STT-MRAM) and ReRAM (or RRAM), which covers both conventional and emerging technologies. DESTINY has been validated against several commercial prototypes. It can be used to model technology nodes ranging from 22nm to 180nm. Thus, DESTINY is intended to be a comprehensive tool. Sparsh Mittal and Matthew Poremba are lead-developers of DESTINY. DESTINY utilizes the framework for modeling 2D SRAM and 2D NVM from NVSim. Also, the coarse- and fine-grained TSV (through silicon via) models are utilized from CACTI-3DD. ### Documentation The file ''DESTINY_Documentation'' under folder 'Doc' provides a brief manual of DESTINY. It shows an example configuration file and the corresponding output of DESTINY, which may be especially useful for a user who wants to get an overview of DESTINY even before installing it. The manual also provides ideas and suggestions for integrating DESTINY into architectural simulators and is expected to answer some of the ``frequently asked questions'' related to DESTINY. ### Sponsors This work was supported by the Office of Advanced Scientific Computing Research in the U.S. Department of Energy, under the project 'Blackcomb - Hardware-Software Co-design for Non-Volatile Memory in Exascale Systems' (https://ft.ornl.gov/trac/blackcomb/). For information, please see our webpage http://ft.ornl.gov/. ------------------------------------------------------ ### Relevant papers, acknowledgement and contact information The following DATE-2015 paper provides a general introduction of DESTINY and the technical report describes the tool in more detail and also shows its use in performing design-space exploration. If you use DESTINY in a research publication, we request you to cite any of the these publications. Matthew Poremba, Sparsh Mittal, Dong Li, Jeffrey S Vetter and Yuan Xie, "DESTINY: A Tool for Modeling Emerging 3D NVM and eDRAM caches", Design Automation and Test in Europe (DATE), 2015. (available here http://goo.gl/3nKAM2) Sparsh Mittal, Matthew Poremba, Jeffrey S Vetter and Yuan Xie, "Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool", ORNL Technical Report no. ORNL/TM-2014/636, 2014 (available here http://goo.gl/qzyWFE). Support for DESTINY is provided on a best-effort basis. For receiving announcements, or sending questions and comments, please subscribe to the mailing list destiny-help@elist.ornl.gov by visiting the following webpage: https://elist.ornl.gov/mailman/listinfo/destiny-help ------------------------------------------------------- ### Compiling DESTINY DESTINY is developed in C++. It can be compiled on both Microsoft Windows and Unix-like OSes. To build the tool under Linux, simply issue $ make ------------------------------------------------------- ### Running DESTINY DESTINY must be compiled with a user-specified configuration files, as follows: $ ./destiny <file>.cfg ------------------------------------------------------- ### The meaning and possible values of parameters added in DESTINY -StackedDieCount - Number of dies over which the memory is distributed -PartitionGranularity - 0: Coarse granularity: This assumes that address, control, and data signals are broadcast to all stacked dies and decoded on the destination die. 1: Fine granularity: This assumes that address signals are pre-decoded on a separate logic layer and the undecoded address signals are broadcast to all stacked dies. The control and data are still shared. Note that the total number of dies in fine granularity is StackedDieCount + 1 -LocalTSVProjection: 0: Use aggressive TSV projection from ITRS for local TSVs. 1: Use conservative values from industry measurements for local TSVs Local TSVs are used in fine granularity partitioning to route pre-decoded signals -GlobalTSVProjection: 0: Use aggressive TSV projection from ITRS for global TSVs 1: Use conservative values from industry measurements for global TSVs Global TSVs are used in both fine and coarse granularity partitioning to route broadcast signals (e.g., data and control signals) -TSVRedundancy: Any floating point value from 1.0 or higher (reasonably, about 2.0 is the maximum). ((TSVRedundancy - 1)*100) is the percentage of extra TSVs assumed for each TSV cluster for fault tolerance / TSV yield issues. -MonolithicStackCount: Integer value e.g., 1, 2, 4. This is the number of memory layers on the *same* die which are monolithically stacked. Other important parameters added: -AllowDifferenceTagTech: Allow the tag array of a cache to be a different technology than the data array (e.g., SRAM tag array with STT-RAM data array). -MemoryCellInputFile: This parameter can be specified multiple times to consider multiple different technologies in the same simulation run. -PrintAllOptimals: Print the optimal design for each optimization target (can be used to find the best of multiple technology inputs). -ForceBank3D: Dimensions of each bank in terms of number of Mats in each direction. -ForceBank3DA: Same as ForceBank3D, except forcing the number of active Mats is not required -ForceBankA: Same as ForceBank in NVSim, except forcing the number of active Mats is not required. -ForceMatA: Same as ForceMat in NVSim, except forcing the number of active Subarrays is not required. ------------------------------------------------------- ### Hacking DESTINY code and possible extensions We expect that end-users of DESTINY should be able to easily modify it to add various features. We are also working to add new features to it and provide a documentation. Some possible extensions to DESTINY include, adding MLC (multi-level cell) modeling capability, modeling other memory technologies such as race-track memory (domain wall memory) etc. We welcome any contribution from the end-users of DESTINY. ### EOF
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