BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.
Circuit-level model for the Capacity-Latency Reconfigurable DRAM (CLR-DRAM) architecture. This repository contains the SPICE models of the CLR-DRAM architecture and the baseline architecture used in our ISCA 2020 paper "Luo et al., CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off": https://people.inf.ethz.ch/omutlu/pub/CLR-DRAM_capacity-latency-reconfigurable-DRAM_isca20.pdf
DRAM error-correction code (ECC) simulator incorporating statistical error properties and DRAM design characteristics for inferring pre-correction error characteristics using only the post-correction errors. Described in the 2019 DSN paper by Patel et al.: https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf.
This repository provides characterization data collected over 96 DDR3 SO-DIMMs, related to the following paper: Lee et al., "Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms", SIGMETRICS 2017. https://people.inf.ethz.ch/omutlu/pub/DIVA-low-latency-DRAM_sigmetrics17-paper.pdf
Experimental study and analysis on the effect of using a wide range of different supply voltage values on the reliability, latency, and retention characteristics of DDR3L DRAM SO-DIMMs
HARP is a memory error profiling algorithm (i.e., for identifying error-prone cells) designed for use with memory chips that use on-die error-correcting codes (ECC). This tool uses Monte-Carlo simulation to evaluate HARP and other error profilers. HARP and this tool are described in the 2021 MICRO paper by Patel et al.: https://arxiv.org/abs/2109.12697.