:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	R, Rajaram, Bharadhwaj, Manoj, VS, Vasan, Pervin, Nargis
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence Hardware Architecture
Online Access:	https://arxiv.org/abs/2401.10484
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAG-Enhanced Kernel-Based Heuristic Synthesis (RKHS): A Structured Methodology Using Large Language Models for Hardware Design
by: Ahir, Shiva, et al.
Published: (2026)

Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs
by: Jain, Rishabh, et al.
Published: (2024)

FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026)

PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
by: Huo, Pingyi, et al.
Published: (2024)

Accelerating Recommendation System Training by Leveraging Popular Choices
by: Adnan, Muhammad, et al.
Published: (2021)

Digital Signal Processing from Classical Coherent Systems to Continuous-Variable QKD: A Review of Cross-Domain Techniques, Applications, and Challenges
by: de Sousa, Davi Juvêncio Gomes, et al.
Published: (2025)

D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models
by: Chen, Hong Cai, et al.
Published: (2025)

Accelerating Retrieval-Augmented Generation
by: Quinn, Derrick, et al.
Published: (2024)

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency
by: Geens, Robin, et al.
Published: (2026)

KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA
by: Guo, Xiaorang, et al.
Published: (2025)

Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators
by: Qing, Jiaxin, et al.
Published: (2025)

Real-Time Adaptive Neural Network on FPGA: Enhancing Adaptability through Dynamic Classifier Selection
by: Bouazzaoui, Achraf El, et al.
Published: (2023)

Unrolled and Pipelined Decoders based on Look-Up Tables for Polar Codes
by: Giard, Pascal, et al.
Published: (2023)

Lottery BP: Unlocking Quantum Error Decoding at Scale
by: Zhu, Yanzhang, et al.
Published: (2026)

CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools
by: Li, Shurui, et al.
Published: (2025)

Enhancing LUT-based Deep Neural Networks Inference through Architecture and Connectivity Optimization
by: Lou, Binglei, et al.
Published: (2026)

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
by: Gerlinghoff, Daniel, et al.
Published: (2024)

FPGA Resource-aware Structured Pruning for Real-Time Neural Networks
by: Ramhorst, Benjamin, et al.
Published: (2023)

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search
by: Abharian, Sanaz Kazemi, et al.
Published: (2025)

PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
by: Lyu, Ning, et al.
Published: (2026)

LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems through Polling-Free and Retry-Free Operation
by: Riedel, Samuel, et al.
Published: (2024)

Look-Up Table based Neural Network Hardware
by: Sen, Ovishake, et al.
Published: (2024)

GEN-Graph: Heterogeneous PIM Accelerator for General Computational Patterns in Graph-based Dynamic Programming
by: Chen, Yanru, et al.
Published: (2026)

ProactivePIM: Accelerating Weight-Sharing Embedding Layer with PIM for Scalable Recommendation System
by: Kim, Youngsuk, et al.
Published: (2024)

E-Commerce Product Recommendation System based on ML Algorithms
by: Haque, Md. Zahurul
Published: (2024)

Unraveling codes: fast, robust, beyond-bound error correction for DRAM
by: Hamburg, Mike, et al.
Published: (2024)

Codes for Metastability-Containing Addition
by: Bund, Johannes, et al.
Published: (2026)

Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory
by: Shi, Daijing, et al.
Published: (2025)

A Survey on LUT-based Deep Neural Networks Implemented in FPGAs
by: Guo, Zeyu
Published: (2025)

SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models
by: Yang, Jinho, et al.
Published: (2025)

Hecaton: Training Large Language Models with Scalable Chiplet Systems
by: Huang, Zongle, et al.
Published: (2024)

Aquas: Enhancing Domain Specialization through Holistic Hardware-Software Co-Optimization based on MLIR
by: Zou, Yuyang, et al.
Published: (2025)

Ray Antenna Array: A Novel Cost-Effective Multi-Antenna Architecture for Enhanced Wireless Communication
by: Dong, Zhenjun, et al.
Published: (2025)

A Case for Kolmogorov-Arnold Networks in Prefetching: Towards Low-Latency, Generalizable ML-Based Prefetchers
by: Kulkarni, Dhruv, et al.
Published: (2025)

SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
by: Li, Xingyang, et al.
Published: (2025)

AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems
by: Cheng, Feng, et al.
Published: (2025)

Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks
by: Lin, Xipeng, et al.
Published: (2024)

Towards Reliable Systems: A Scalable Approach to AXI4 Transaction Monitoring
by: Liang, Chaoqun, et al.
Published: (2025)

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
by: Hafiz, Muhammad Ihsan Al, et al.
Published: (2025)

Scalable Digital Compute-in-Memory Ising Machines for Robustness Verification of Binary Neural Networks
by: Vadlamani, Madhav, et al.
Published: (2026)