All Stories

  1. Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning
  2. FedAGF: Adaptive Concurrency via Gradient Feedback for Mitigating Extreme Label Skew in Budget-Constrained Federated Learning
  3. Runtime Feature Compression for Adaptive Keyword Spotting on Embedded Systems
  4. Self-Supervised Anomaly Detection for Industrial Machines With Sensor Distance Classification
  5. Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
  6. Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
  7. Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning
  8. Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
  9. Monocular Depth Perception on Microcontrollers for Edge Applications
  10. Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs
  11. Communication-Efficient Federated Learning with Gradual Layer Freezing
  12. Dynamic ConvNets on Tiny Devices via Nested Sparsity
  13. AxP: A HW-SW Co-Design Pipeline for Energy-Efficient Approximated ConvNets via Associative Matching
  14. ACME: An Energy-Efficient Approximate Bus Encoding for I2C
  15. Ultra-compact binary neural networks for human activity recognition on RISC-V processors
  16. TVFS: Topology Voltage Frequency Scaling for Reliable Embedded ConvNets
  17. Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools
  18. EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets
  19. TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
  20. Efficacy of Topology Scaling for Temperature and Latency Constrained Embedded ConvNets
  21. Logic Synthesis of Pass-Gate Logic Circuits With Emerging Ambipolar Technologies
  22. Corrigendum to“Approximate error detection-correction for efficient adaptive voltage Over-Scaling”[Integration 63 (2018) 220–231]
  23. Fast and Accurate Inference on Microcontrollers With Boosted Cooperative Convolutional Neural Networks (BC-Net)
  24. Performance Profiling of Embedded ConvNets under Thermal-Aware DVFS
  25. CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
  26. Integer ConvNets on Embedded CPUs: Tools and Performance Assessment on the Cortex-A Cores
  27. Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors
  28. Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets
  29. Implementing Adaptive Voltage Over-Scaling: Algorithmic Noise Tolerance vs. Approximate Error Detection
  30. Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms
  31. Energy-Efficient Convolutional Neural Networks via Recurrent Data Reuse
  32. SAID: A Supergate-Aided Logic Synthesis Flow for Memristive Crossbars
  33. Optimality Assessment of Memory-Bounded ConvNets Deployed on Resource-Constrained RISC Cores
  34. Energy-Accuracy Scalable Deep Convolutional Neural Networks: A Pareto Analysis
  35. On the Efficiency of Early Bird Sampling (EBS) an Error Detection-Correction Scheme for Data-Driven Voltage Over-Scaling
  36. Layer-Wise Compressive Training for Convolutional Neural Networks
  37. Logic-In-Memory Architecture For Min/Max Search
  38. Adaptive Convolutional Neural Networks
  39. Energy-Driven Precision Scaling for Fixed-Point ConvNets
  40. Inferential Logic: a Machine Learning Inspired Paradigm for Combinational Circuits
  41. Approximate Error Detection-Correction for efficient Adaptive Voltage Over-Scaling
  42. Quasi-exact logic functions through classification trees
  43. Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets
  44. Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS
  45. Multiplication by Inference using Classification Trees: A Case-Study Analysis
  46. All-digital embedded meters for on-line power estimation
  47. Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator
  48. A compression-driven training framework for embedded deep neural networks
  49. Early bird sampling: A short-paths free error detection-correction strategy for data-driven VOS
  50. Activation-Kernel Extraction through Machine Learning
  51. Tunable Error Detection-Correction for Efficient Adaptive Voltage Over-Scaling
  52. Beyond Ideal DVFS Through Ultra-Fine Grain Vdd-Hopping
  53. Logic Synthesis for Silicon and Beyond-Silicon Multi-gate Pass-Logic Circuits
  54. Quasi-Adiabatic Logic Arrays for Silicon and Beyond-Silicon Energy-Efficient ICs
  55. Ultra-Fine Grain Vdd-Hopping for energy-efficient Multi-Processor SoCs
  56. Multi-function logic synthesis of silicon and beyond-silicon ultra-low power pass-gates circuits
  57. Enabling quasi-adiabatic logic arrays for silicon and beyond-silicon technologies
  58. Graphene-PLA (GPLA)
  59. Ultra-low power circuits using graphene p–n junctions and adiabatic computing
  60. An automated design flow for approximate circuits based on reduced precision redundancy
  61. One-pass logic synthesis for graphene-based Pass-XNOR logic circuits
  62. Characterizing the Activity Factor in NBTI Aging Models for Embedded Cores
  63. Design and Characterization of Analog-to-Digital Converters using Graphene P-N Junctions
  64. Exploiting the Expressive Power of Graphene Reconfigurable Gates via Post-Synthesis Optimization
  65. Evaluating a Hardware-Based Approach for Detecting Resistive-Open Defects in SRAMs
  66. Power-Gating for Leakage Control and Beyond
  67. Ultra Low-Power Computation via Graphene-Based Adiabatic Logic Gates
  68. Modeling of Physical Defects in PN Junction Based Graphene Devices
  69. Row-based body-bias assignment for dynamic thermal clock-skew compensation
  70. Dynamic Indexing: Leakage-Aging Co-Optimization for Caches
  71. Pass-XNOR logic: A new logic style for P-N junction based graphene circuits
  72. Modeling and characterization of thermally induced skew on clock distribution networks of nanometric ICs
  73. Power modeling and characterization of Graphene-based logic gates
  74. Exploration of different implementation styles for graphene-based reconfigurable gates
  75. Investigating the behavior of physical defects in pn-junction based reconfigurable graphene devices
  76. Technique based on On-Chip Current Sensors and Neighbourhood Comparison Logic to detect resistive-open defects in SRAMs
  77. Layout-Driven Post-Placement Techniques for Temperature Reduction and Thermal Gradient Minimization
  78. Delay model for reconfigurable logic gates based on graphene PN-junctions
  79. Energy-optimal SRAM supply voltage scheduling under lifetime and error constraints
  80. On-Chip NBTI and PBTI Tracking through an All-Digital Aging Monitor Architecture
  81. Design Techniques and Architectures for Low-Leakage SRAMs
  82. Design Techniques for NBTI-Tolerant Power-Gating Architectures
  83. NBTI-Aware Data Allocation Strategies for Scratchpad Based Embedded Systems
  84. Energy-optimal caches with guaranteed lifetime
  85. NBTI effects on tree-like clock distribution networks
  86. On-chip process variation-tracking through an all-digital monitoring architecture
  87. Power Efficient Variability Compensation Through Clustered Tunable Power-Gating
  88. A new Built-In Current Sensor scheme to detect dynamic faults in Nano-Scale SRAMs
  89. NBTI-aware data allocation strategies for scratchpad memory based embedded systems
  90. An On-Chip All-Digital PV-Monitoring Architecture for Digital IPs
  91. Buffering of frequent accesses for reduced cache aging
  92. Sub-Row Sleep Transistor Insertion for Concurrent Clock-Gating and Power-Gating
  93. NBTI-Aware Clustered Power Gating
  94. Temperature-Insensitive Dual-$V_{\rm th}$ Synthesis for Nanometer CMOS Technologies Under Inverse Temperature Dependence
  95. Dual- assignment policies in ITD-aware synthesis
  96. Analysis of NBTI-induced SNM degradation in power-gated SRAM cells
  97. Aging effects of leakage optimizations for caches
  98. An integrated thermal estimation framework for industrial embedded platforms
  99. Dynamic indexing
  100. Generating power-hungry test programs for power-aware validation of pipelined processors
  101. On-chip Thermal Modeling Based on SPICE Simulation
  102. Reducing Timing Overhead in Simultaneously Clock-Gated and Power-Gated Designs by Placement-Aware Clustering
  103. Design of a Flexible Reactivation Cell for Safe Power-Mode Transition in Power-Gated Circuits
  104. NBTI-aware power gating for concurrent leakage and aging optimization
  105. Placement-aware clustering for integrated clock and power gating
  106. NBTI-aware sleep transistor design for reliable power-gating
  107. Thermal-Aware Design Techniques for Nanometer CMOS Circuits
  108. Ensuring temperature-insensitivity of dual-Vt designs through ITD-aware synthesis
  109. On quantifying the figures of merit of power-gating for leakage power minimization in nanometer CMOS circuits
  110. Optimal MTCMOS Reactivation Under Power Supply Noise and Performance Constraints
  111. Integrating Clock Gating and Power Gating for Combined Dynamic and Leakage Power Optimization in Digital CMOS Circuits
  112. Reducing leakage power by accounting for temperature inversion dependence in dual-Vt synthesized circuits
  113. Temperature-insensitive synthesis using multi-vt libraries
  114. Efficient Computation of Discharge Current Upper Bounds for Clustered Sleep Transistor Sizing
  115. Design of a family of sleep transistor cells for a clustered power-gating flow in 65nm technology