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