1.
Tensor Train Random Projection
[911]
|
2.
Deep Learning for Spatial Supply Noise Estimation in a Processor C..
[832]
|
3.
ICARUS: A Specialized Architecture for Neural Radiance Fields Rend..
[726]
|
4.
An orchestrated NoC prioritization mechanism for heterogeneous CPU..
[643]
|
5.
Run-time demand estimation and modulation of on-chip decaps at sys..
[611]
|
6.
An Energy-Efficient Accelerator for Medical Image Reconstruction F..
[610]
|
7.
Optimizing the Energy Efficiency of Power Supply in Heterogeneous ..
[581]
|
8.
Reliability- and performance-driven mapping for regular 3D NoCs us..
[565]
|
9.
3D Placement and Routing
[551]
|
10.
A Cross-Layer Framework for Temporal Power and Supply Noise Predic..
[500]
|
11.
Integrating Low-Resolution Surveillance Camera and Smartphone Iner..
[489]
|
12.
LEAKAGE POWER REDUCTION IN MULTICORE CHIPS VIA ONLINE DECAP MODULA..
[471]
|
13.
Dependable Visual Light-Based Indoor Localization with Automatic A..
[461]
|
14.
Machine Learning for Noise Sensor Placement and Full-Chip Voltage ..
[455]
|
15.
DESIGN AND OPTIMIZATION OF ON-CHIP VOLTAGE REGULATORS FOR HIGH PER..
[430]
|
16.
Distributed On-Chip Switched-Capacitor DC-DC Converters Supporting..
[429]
|
17.
How Secure is Split Manufacturing in Preventing Hardware Trojan?
[428]
|
18.
An improved leakage-driven runtime decap modulation algorithm for ..
[422]
|
19.
Tolerating Stuck-at Fault and Variation in Resistive Edge Inferenc..
[415]
|
20.
神经渲染的多核加速
[411]
|
21.
Addressing Aging Issues in Heterogeneous Three-Dimensional Integra..
[404]
|
22.
A Statistical Methodology for Noise Sensor Placement and Full-Chip..
[400]
|
23.
An Outlier Detection Method and its Application to Multicore-Chip ..
[400]
|
24.
Analysis and Design of Precision-Scalable Computation Array for Ef..
[394]
|
25.
An improved design of hybrid integrated voltage regulator based on..
[392]
|
26.
Energy-Efficient Time-Division Multiplexed Hybrid-Switched NoC for..
[390]
|
27.
The study of TSV-induced and strained silicon-enhanced stress in 3..
[377]
|
28.
用于神经渲染的多核系统
[361]
|
29.
Exploring Remote Power Attacks Targeting Parallel Data Encryption ..
[359]
|
30.
A system level framework for on-line supply noise prediction
[353]
|
31.
LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Mu..
[352]
|
32.
Design and CAD of Noise Sensors for On-Die Supply Voltage Emergenc..
[349]
|
33.
Customized High Performance and Energy Efficient Communication Net..
[345]
|
34.
混合精度神经网络系统
[341]
|
35.
用于神经网络中乘数共享的方法和系统
[337]
|
36.
Early-Stage Planning of Switched-Capacitor Converters in a Heterog..
[335]
|
37.
精简近似的基于共享的单输入多权重乘法器
[334]
|
38.
神经渲染的多核加速
[334]
|
39.
The Study of TSV-Induced and Strained Silicon-Enhanced Stress in 3..
[332]
|
40.
用于图像渲染的系统和方法
[331]
|
41.
An Efficient Hardware Volume Renderer for Convolutional Neural Rad..
[325]
|
42.
混合精度神经网络系统
[319]
|
43.
A Quantized Training Framework for Robust and Accurate ReRAM-based..
[316]
|
44.
Detecting Adversarial Examples Utilizing Pixel Value Diversity
[316]
|
45.
Improved Hierarchical IR Drop Analysis in Homogeneous Circuits
[315]
|
46.
模型训练方法、工艺诊断方法、装置及存储介质
[313]
|
47.
混合精度神经网络系统
[311]
|
48.
A system level framework for online supply noise prediction
[308]
|
49.
ACCELERATED NEURAL RADIANCE FIELDS FOR VIEW SYNTHESIS
[307]
|
50.
可重构的硅基片上光衍射神经网络
[307]
|
51.
CoDRAM: A Novel Near Memory Computing Framework with Computational..
[306]
|
52.
Parasitic Capacitance Modeling of Si-Bulk FinFET-Based pMOS
[306]
|
53.
Two-Stage Energy Efficiency Optimization of Switched-Capacitor Con..
[306]
|
54.
Thermal-Aware Layout Optimization and Mapping Methods for Resistiv..
[302]
|
55.
图像渲染系统和方法
[302]
|
56.
一种专用的硅基片上光衍射神经网络
[302]
|
57.
A study about task-based DVFS policy
[300]
|
58.
How Secure Is Split Manufacturing in Preventing Hardware Trojan?
[295]
|
59.
用于神经渲染的多核系统
[295]
|
60.
METHODS AND SYSTEMS FOR MULTIPLIER SHARING IN NEURAL NETWORKS
[293]
|
61.
面向衍射光学设计自动化的电磁仿真方法以及系统
[293]
|
62.
用于视图合成的加速神经辐射场
[292]
|
63.
A Compact Memory Structure based on 2T1R Against Single-Event Upse..
[291]
|
64.
用于神经渲染的多核系统
[290]
|
65.
An RRAM-based Neural Radiance Field Processor
[288]
|
66.
Machine Learning-Based Device Modeling and Performance Optimizatio..
[286]
|
67.
An Energy Efficient Precision Scalable Computation Array for Neura..
[283]
|
68.
A 0.59μJ/pixel High-throughput Energy-efficient Neural Volume Ren..
[282]
|
69.
Optimizing the Energy Efficiency of Switched-Capacitor Converters ..
[279]
|
70.
REDUCED APPROXIMATION SHARING-BASED SINGLE-INPUT MULTI-WEIGHTS MUL..
[278]
|
71.
用于训练量化神经辐射场的方法和系统
[277]
|
72.
神经渲染的多核加速
[276]
|
73.
A Speed- and Energy-Driven Holistic Training Framework for Sparse ..
[273]
|
74.
Fast and Accurate NoC Latency Estimation for Application-Specific ..
[272]
|
75.
A Systolic Array with Activation Stationary Dataflow for Deep Full..
[271]
|
76.
An RRAM-based Neural Radiance Field Processor
[270]
|
77.
METHODS AND SYSTEMS FOR TRAINING QUANTIZED NEURAL RADIANCE FIELD
[266]
|
78.
用于训练量化神经辐射场的方法和系统
[266]
|
79.
Efficient Techniques for Training the Memristor-based Spiking Neur..
[258]
|
80.
Fast NoC Router Latency Estimation Using Machine Learning
[258]
|
81.
Fast and Accurate NoC Latency Estimation for Application-Specific ..
[250]
|
82.
A Mapping Method Tolerating SAF and Variation for Memristor Crossb..
[249]
|
83.
Efficient Techniques for Extending Service Time for Memristor-base..
[244]
|
84.
基于微环谐振器的片上调制的光学芯片及光学神经网络系统
[243]
|
85.
ICARUS: A Specialized Architecture for Neural Radiance Field Rende..
[237]
|
86.
SME: A Systolic Multiply-accumulate Engine for MLP-based Neural Ne..
[236]
|
87.
An Input-Sensitive Dynamic Power Modeling Methodology for AI Chips..
[231]
|
88.
Defending against Adversarial Attacks in Deep Learning with Robust..
[223]
|
89.
Spiking-NeRF: Spiking Neural Network for Energy-Efficient Neural R..
[221]
|
90.
Ray Reordering for Hardware-Accelerated Neural Volume Rendering
[218]
|
91.
Defending Against Adversarial Attacks in Deep Learning with Robust..
[216]
|
92.
Full-Chip Voltage Prediction via Graph Attention Based Neural Netw..
[209]
|
93.
EFFECTIVE ACTIVATING COMPENSATION LOGIC FOR DRAMS IN 3D-ICS
[202]
|
94.
A Transferable GNN-based Multi-Corner Performance Variability Mode..
[199]
|
95.
Guest Editorial Special Issue on the Asian Hardware Oriented Secur..
[188]
|
96.
A Customized Model for Defensing Against Adversarial Attacks
[186]
|
97.
A Hybrid Training Framework for Speeding up the Inference Process ..
[182]
|
98.
支持向量机(SVM)算法用于计算机CPU功耗管理
[181]
|
99.
Protecting Parallel Data Encryption in Multi-Tenant FPGAs by Explo..
[181]
|
100.
ZeroTetris: A Spacial Feature Similarity-based Sparse MLP Engine f..
[152]
|