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FP7 FET-OPEN i-RISC Innovative Reliable Chip Design from Low Power Unreliable Components Dr. Alexandru Amaricai UPT Coordinator Outline ∗ Project overview ∗ Objectives & scientific goals ∗ Trans-disciplinary approach ∗ Error correction codes ∗ Sub-powered circuit design ∗ Workplan ∗ Workpackages ∗ Error models for sub-powered CMOS circuits ∗ Conclusions Project overview ∗ Partners: ∗ ∗ ∗ ∗ ∗ ∗ CEA-LETI Grenoble – Dr. Valentin Savin (Coordinator) ENSEA Cergy-Pontoise – Prof. David Declercq UCC Cork - Dr. Emanuel Popovici TU Delft – Prof. Sorin Cotofana ELFAK Nis – Dr. Goran Djordjevic and Prof. Bane Vasic UPT – Dr. Alexandru Amaricai ∗ Budget ∗ Total budget: 2 161 k Euro / 1 613 k Euro – EU Contribution ∗ UPT budget: 177 k Euro / 133 k Euro – EU Contribution ∗ Duration ∗ Feb 2013 – Jan 2016 Trans-disciplinary Approach Error Correction Coding ∗ Soft-decoding ECC based ∗ Very good error correction capability ∗ Close to theoretical Shannon limit ∗ Decoding process ∗ High cost/power consumption ∗ Operates on reliable hardware Trans-disciplinary Approach Sub-powered CMOS circuits ∗ Power reduction via aggressive voltage scaling ∗ Both static and dynamic components ∗ High latency – undefined timing characteristics ∗ Augmented effects of PVT variations ∗ Probabilistic behavior of logic components Objectives Error Correction ∗ Is it possible to perform effective error correction on low-power unreliable hardware? Sub-powered Circuits ∗ Is it possible to perform reliable computation using ECC techniques ? Work-Plan ∗ WP2 – Error Models and Energy Measures ∗ WP5 – Reliable Boolean Function Synthesis ∗ WP3 - Fault Tolerant Algorithms for Error Correction ∗ WP4 - Reliable Data Storage and Transport ∗ WP6 – Proof-of-Concept Error Models for Sub-Powered CMOS Circuits ∗ Methodology Dynamic Timing Analysis Technology models : TSMC 45 nm Monte-Carlo simulations (10.000 simulations) Simulations for 0.25V, 0.3V and 0.35 V ∗ Sub-threshold and near-threshold regimes ∗ Setup ∗ Process variations (threshold voltage & oxide thickness) ∗ Supply voltage variations (+/- 30 mV) ∗ Different temperatures ∗ ∗ ∗ ∗ Error Models for Sub-powered CMOS Circuits – NAND Gate Error Models for Sub-powered CMOS Circuits ∗ Delay dependent probability of correctness ∗ Higher gate delay leads to better reliability ∗ Data dependent probabilities (input switch combinations) ∗ Unbalanced charging and discharging currents for different input switch combinations ∗ Probability dependence on supply voltage ∗ Lower supply voltage leads to lower reliability Conclusions ∗ i-RISC – Trans-disciplinary project ∗ Coding theory ∗ Sub-powered circuit design ∗ High risk scientific objectives for both communities ∗ Effective ECC on unreliable low-power hardware ∗ Reliable logic circuits using ECC coding and decoding