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Showing 951–1000 of 2231 papers

TitleStatusHype
Benchmarking State-of-the-Art Deep Learning Software Tools—0
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks—0
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs—0
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search—0
Fusion of multispectral satellite imagery using a cluster of graphics processing unit—0
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads—0
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows—0
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design—0
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
A Convolutional Neural Network Cascade for Face Detection—0
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
GEB-1.3B: Open Lightweight Large Language Model—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training—0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
Generative AI on the Edge: Architecture and Performance Evaluation—0
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs—0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware—0
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms—0
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic—0
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors—0
DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks—0
GHOST: A Graph Neural Network Accelerator using Silicon Photonics—0
Benchmarking Edge AI Platforms for High-Performance ML Inference—0
Cross-Stack Workload Characterization of Deep Recommendation Systems—0
Joint Optimization of the Deployment and Resource Allocation of UAVs in Vehicular Edge Computing and Networks—0
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity—0
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge—0
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification—0
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs—0
GnetDet: Object Detection Optimized on a 224mW CNN Accelerator Chip at the Speed of 106FPS—0
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS—0
Heterogeneous Acceleration Pipeline for Recommendation System Training—0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
Dynamic Superblock Pruning for Fast Learned Sparse Retrieval—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
HFL: Hybrid Fuzzing on the Linux Kernel—0
Google Coral-based edge computing person reidentification using human parsing combined with analytical method—0
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent—0
GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm—0
A General Framework for Constrained Bayesian Optimization using Information-based Search—0
GPTVQ: The Blessing of Dimensionality for LLM Quantization—0
CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads—0
GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction—0
AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks—0
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization—0
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