Copertina

Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sunny, Febin, Taheri, Ebadollah, Nikdast, Mahdi, Pasricha, Sudeep
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Hardware Architecture Machine Learning Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
di: Afifi, Salma, et al.
Pubblicazione: (2024)

OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
di: Sunny, Febin, et al.
Pubblicazione: (2024)

PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
di: Suresh, Tharini, et al.
Pubblicazione: (2025)

Accelerating Diffusion Models for Generative AI Applications with Silicon Photonics
di: Suresh, Tharini, et al.
Pubblicazione: (2026)

Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
di: Pasricha, Sudeep
Pubblicazione: (2024)

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
di: Morsali, Mehrdad, et al.
Pubblicazione: (2024)

ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks
di: Afifi, Salma, et al.
Pubblicazione: (2024)

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics
di: Morsali, Mehrdad, et al.
Pubblicazione: (2025)

A High-Throughput Hardware Accelerator for Lempel-Ziv 4 Compression Algorithm
di: Chen, Tao, et al.
Pubblicazione: (2024)

SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators
di: Afifi, Salma, et al.
Pubblicazione: (2024)

Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate
di: Najafi, Deniz, et al.
Pubblicazione: (2024)

PhD Thesis Summary: Methods for Reliability Assessment and Enhancement of Deep Neural Network Hardware Accelerators
di: Taheri, Mahdi
Pubblicazione: (2026)

Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing
di: Afifi, S., et al.
Pubblicazione: (2026)

LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search
di: Shafiee, Amin, et al.
Pubblicazione: (2025)

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design
di: Fu, Weimin, et al.
Pubblicazione: (2026)

Hardware Implementation of Soft Mapper/Demappers in Iterative EP-based Receivers
di: Schilling, Ian Fischer, et al.
Pubblicazione: (2024)

Single-Event Upset Analysis of a Systolic Array based Deep Neural Network Accelerator
di: Jonckers, Naïn, et al.
Pubblicazione: (2024)

MCFlash: Bulk Bitwise Processing in 3D NAND with Dynamic Sensing and Multi-level Encoding
di: Rahman, Habib Ur, et al.
Pubblicazione: (2026)

CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning
di: Khan, Kamil, et al.
Pubblicazione: (2024)

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization
di: Versluis, Manno, et al.
Pubblicazione: (2025)

Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
di: Halenka, Vojtech, et al.
Pubblicazione: (2026)

Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network
di: Haverkort, Bram, et al.
Pubblicazione: (2025)

Current Opinions on Memristor-Accelerated Machine Learning Hardware
di: Jiang, Mingrui, et al.
Pubblicazione: (2025)

CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture
di: Ney, Jonas, et al.
Pubblicazione: (2024)

Designing Spatial Architectures for Sparse Attention: STAR Accelerator via Cross-Stage Tiling
di: Wang, Huizheng, et al.
Pubblicazione: (2025)

PADE: A Predictor-Free Sparse Attention Accelerator via Unified Execution and Stage Fusion
di: Wang, Huizheng, et al.
Pubblicazione: (2025)

Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems
di: Huang, Wei-Hsing, et al.
Pubblicazione: (2025)

PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration
di: Chong, Yue Jiet, et al.
Pubblicazione: (2025)

In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications
di: Ding, Tingyu, et al.
Pubblicazione: (2025)

A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks
di: Leiva-Valverde, Anthony, et al.
Pubblicazione: (2025)

Hardware Implementation of Projection-Aggregation Decoders for Reed-Muller Codes
di: Hashemipour-Nazari, Marzieh, et al.
Pubblicazione: (2024)

A 0.03${mm}^2$ 100-250MHz Charge-Pump or Amplifier-Less Integrating Sub-Sampling PLL for Ultra-low Power Communication and Computing
di: Ray, Yudhajit, et al.
Pubblicazione: (2024)

ONE-SA: Enabling Nonlinear Operations in Systolic Arrays for Efficient and Flexible Neural Network Inference
di: Sun, Ruiqi, et al.
Pubblicazione: (2024)

FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
di: Liu, Mengxi, et al.
Pubblicazione: (2023)

Designing High-Performance and Thermally Feasible Multi-Chiplet Architectures enabled by Non-bendable Glass Interposer
di: Sharma, Harsh, et al.
Pubblicazione: (2025)

Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators
di: Yik, Jason, et al.
Pubblicazione: (2025)

ChipletQuake: On-die Digital Impedance Sensing for Chiplet and Interposer Verification
di: Monfared, Saleh Khalaj, et al.
Pubblicazione: (2025)

FETTA: Flexible and Efficient Hardware Accelerator for Tensorized Neural Network Training
di: Lu, Jinming, et al.
Pubblicazione: (2025)

Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference
di: Huang, Wei-Hsing, et al.
Pubblicazione: (2024)

Practical Timing Closure in FPGA and ASIC Designs: Methods, Challenges, and Case Studies
di: Darvishi, Mostafa
Pubblicazione: (2025)