Cover Image

Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Keming, Chen, Wei-Chen, Pinge, Sumukh, Wong, H. -S. Philip, Rosing, Tajana
Format:	Preprint
Published:	2024
Subjects:	Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
by: Pinge, Sumukh, et al.
Published: (2024)

Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
by: Xu, Weihong, et al.
Published: (2023)

HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash
by: Zhao, Quanling, et al.
Published: (2025)

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
by: Pinge, Sumukh, et al.
Published: (2025)

SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing
by: Zhang, Tianqi, et al.
Published: (2026)

Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
by: Wang, Xuan, 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)

RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs
by: Chen, Yanru, et al.
Published: (2025)

GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
by: Lu, Tsung-Han, et al.
Published: (2026)

HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Neighbor Search Acceleration
by: Hsu, Po-Kai, et al.
Published: (2026)

CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference
by: Chen, Yanru, et al.
Published: (2025)

PIM-FW: Hardware-Software Co-Design of All-pairs Shortest Paths in DRAM
by: Lu, Tsung-Han, et al.
Published: (2025)

Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution
by: Song, Chang Eun, et al.
Published: (2025)

SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis
by: Fan, Keming, et al.
Published: (2024)

FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
by: Yang, Haichao, et al.
Published: (2024)

Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search
by: Song, Chang Eun, et al.
Published: (2025)

Search-in-Memory (SiM): Reliable, Versatile, and Efficient Data Matching in SSD's NAND Flash Memory Chip for Data Indexing Acceleration
by: Chen, Yun-Chih, 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)

The Future of Memory: Limits and Opportunities
by: Dayo, Samuel, et al.
Published: (2025)

SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)

OpenGCRAM: An Open-Source Gain Cell Compiler Enabling Design-Space Exploration for AI Workloads
by: Wang, Xinxin, et al.
Published: (2025)

DAE4HLS: Exposing Memory-Level Parallelism for High-Level Synthesis using Explicit Decoupling
by: Metz, David, et al.
Published: (2026)

Co-Designing Graph-based Approximate Nearest Neighbor Search at Billion Scale for Processing-in-Memory
by: Chen, Sitian, et al.
Published: (2026)

Enabling Efficient Transaction Processing on CXL-Based Memory Sharing
by: Wang, Zhao, et al.
Published: (2025)

System-Level Design Space Exploration for High-Level Synthesis under End-to-End Latency Constraints
by: Liao, Yuchao, et al.
Published: (2024)

Learning Library Cell Representations in Vector Space
by: Liang, Rongjian, et al.
Published: (2025)

FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing
by: Xu, Weihong, et al.
Published: (2025)

R-HLS: An IR for Dynamic High-Level Synthesis and Memory Disambiguation based on Regions and State Edges
by: Metz, David, et al.
Published: (2024)

Configurable Multi-Port Memory Architecture for High-Speed Data Communication
by: Dhakad, Narendra Singh, et al.
Published: (2024)

MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation
by: Qian, Xingyue, et al.
Published: (2024)

Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing
by: Khadem, Alireza, et al.
Published: (2025)

A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks
by: Kao, Shih-Hang, et al.
Published: (2026)

Multiport Support for Vortex OpenGPU Memory Hierarchy
by: Shin, Injae, et al.
Published: (2025)

Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
by: Li, Huize, et al.
Published: (2026)

FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing
by: Lee, You Hak, et al.
Published: (2025)

In-Memory ADC-Based Nonlinear Activation Quantization for Efficient In-Memory Computing
by: Dong, Shuai, et al.
Published: (2026)

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
by: Xuan, Zihao, et al.
Published: (2026)

XtraMAC: An Efficient MAC Architecture for Mixed-Precision LLM Inference on FPGA
by: Yu, Feng, et al.
Published: (2026)

PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout
by: Chen, Zhiyu, et al.
Published: (2024)

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis
by: Peng, Zedong, et al.
Published: (2025)