Copertina

Using MLIR Transform to Design Sliced Convolution Algorithm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferrari, Victor, Pereira, Marcio, Alvarenga, Lucas, Leite, Gustavo, Araujo, Guido
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Performance
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ConvBench: A Comprehensive Benchmark for 2D Convolution Primitive Evaluation
di: Alvarenga, Lucas, et al.
Pubblicazione: (2024)

A Study on Inference Latency for Vision Transformers on Mobile Devices
di: Li, Zhuojin, et al.
Pubblicazione: (2025)

Minuet: Accelerating 3D Sparse Convolutions on GPUs
di: Yang, Jiacheng, et al.
Pubblicazione: (2023)

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
di: Jafari, Sadegh, et al.
Pubblicazione: (2025)

PEVLM: Parallel Encoding for Vision-Language Models
di: Kang, Letian, et al.
Pubblicazione: (2025)

CRAM: Large-scale Video Continual Learning with Bootstrapped Compression
di: Mall, Shivani, et al.
Pubblicazione: (2025)

Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
di: Herec, Jonáš, et al.
Pubblicazione: (2025)

A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers
di: Halin, Anaïs, et al.
Pubblicazione: (2024)

Foundations of the Theory of Performance-Based Ranking
di: Piérard, Sébastien, et al.
Pubblicazione: (2024)

The Tile: A 2D Map of Ranking Scores for Two-Class Classification
di: Piérard, Sébastien, et al.
Pubblicazione: (2024)

Learning Using Privileged Information for Litter Detection
di: Bartolo, Matthias, et al.
Pubblicazione: (2025)

FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
di: Liu, Dong, et al.
Pubblicazione: (2025)

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
di: Du, Dayou, et al.
Pubblicazione: (2024)

LP-GEMM: Integrating Layout Propagation into GEMM Operations
di: Carneiro, César Guedes, et al.
Pubblicazione: (2026)

Adaptive Iterative Compression for High-Resolution Files: an Approach Focused on Preserving Visual Quality in Cinematic Workflows
di: Melo, Leonardo, et al.
Pubblicazione: (2025)

Fast-SEnSeI: Lightweight Sensor-Independent Cloud Masking for On-board Multispectral Sensors
di: Kněžík, Jan, et al.
Pubblicazione: (2025)

Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning
di: Benhammou, Yassir, et al.
Pubblicazione: (2025)

NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices
di: Wang, Zhe, et al.
Pubblicazione: (2025)

Spatially-Aware Evaluation of Segmentation Uncertainty
di: Zeevi, Tal, et al.
Pubblicazione: (2025)

VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
di: Yang, Kichang, et al.
Pubblicazione: (2025)

Multi-domain performance analysis with scores tailored to user preferences
di: Piérard, Sébastien, et al.
Pubblicazione: (2025)

SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
di: Zhang, Jintao, et al.
Pubblicazione: (2025)

What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
di: Piérard, Sébastien, et al.
Pubblicazione: (2025)

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
di: Wu, Yushu, et al.
Pubblicazione: (2024)

Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
di: Yun, Juyoung, et al.
Pubblicazione: (2023)

A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
di: Li, Vladislav, et al.
Pubblicazione: (2024)

Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
di: Zhao, Yiwei, et al.
Pubblicazione: (2024)

Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
di: Emonds, Yannick, et al.
Pubblicazione: (2024)

Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
di: Sai, Vishnu, et al.
Pubblicazione: (2026)

Class Confidence Aware Reweighting for Long Tailed Learning
di: Jagati, Brainard Philemon, et al.
Pubblicazione: (2026)

On Latency Predictors for Neural Architecture Search
di: Akhauri, Yash, et al.
Pubblicazione: (2024)

TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
di: Rossi, Daniel, et al.
Pubblicazione: (2025)

Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation
di: Gunawardena, Nishan, et al.
Pubblicazione: (2024)

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
di: Smith, Heath, et al.
Pubblicazione: (2024)

Slicing Vision Transformer for Flexible Inference
di: Zhang, Yitian, et al.
Pubblicazione: (2024)

Performance is not All You Need: Sustainability Considerations for Algorithms
di: Li, Xiang, et al.
Pubblicazione: (2025)

R2 Loss: Range Restriction Loss for Model Compression and Quantization
di: Kundu, Arnav, et al.
Pubblicazione: (2023)

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning
di: Armah, Eugene, et al.
Pubblicazione: (2025)

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
di: Zhang, Jintao, et al.
Pubblicazione: (2025)

Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
di: Taufique, Zain, et al.
Pubblicazione: (2024)