Cover Image

Mycelium: A Transformation-Embedded LSM-Tree

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Casaletto, Holly, Lefevre, Jeff, Montana, Aldrin, Alvaro, Peter
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
by: Sheng, Weiming, et al.
Published: (2026)

Embedded Made Easy -- Rethinking Embedded + Cloud Software Development (WIP)
by: Arnold, Anthony, et al.
Published: (2026)

LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
by: Park, Jeongmin Brian, et al.
Published: (2024)

Minimizing CGYRO HPC Communication Costs in Ensembles with XGYRO by Sharing the Collisional Constant Tensor Structure
by: Sfiligoi, Igor, et al.
Published: (2025)

Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
by: Peccia, Federico Nicolás, et al.
Published: (2024)

Incremental GNN Embedding Computation on Streaming Graphs
by: Wang, Qiange, et al.
Published: (2026)

HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
by: Fink, Zane, et al.
Published: (2024)

WindVE: Collaborative CPU-NPU Vector Embedding
by: Huang, Jinqi, et al.
Published: (2025)

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
by: Li, Zhonggen, et al.
Published: (2025)

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
by: Hidayetoglu, Mert, et al.
Published: (2025)

OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)

NotNets: Accelerating Microservices by Bypassing the Network
by: Alvaro, Peter, et al.
Published: (2024)

AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems
by: Ranjbar, Behnaz, et al.
Published: (2026)

Exploring Fast Fourier Transforms on the Tenstorrent Wormhole
by: Brown, Nick, et al.
Published: (2025)

SkyMemory: A LEO Edge Cache for Transformer Inference Optimization and Scale Out
by: Sandholm, Thomas, et al.
Published: (2025)

FPTC: A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression
by: Mechels, Ben, et al.
Published: (2026)

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU
by: Wu, Shixun, et al.
Published: (2024)

Areon: Latency-Friendly and Resilient Multi-Proposer Consensus
by: Castro-Castilla, Álvaro, et al.
Published: (2025)

Galvatron: Automatic Distributed Training for Large Transformer Models
by: Gumaan, Esmail
Published: (2025)

Transforming Agriculture: Exploring Diverse Practices and Technological Innovations
by: Kumar, Ramakant
Published: (2024)

Towards a Scalable In Situ Fast Fourier Transform
by: Kulkarni, Sudhanshu, et al.
Published: (2024)

Fully Adaptive Self-Stabilizing Transformer for LCL Problems
by: Bitton, Shimon, et al.
Published: (2021)

SHARe-KAN: Post-Training Vector Quantization for Cache-Resident KAN Inference
by: Smith, Jeff
Published: (2025)

Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
by: Qazi, Muhammad Azlan, et al.
Published: (2026)

Transformer-Based Sparse CSI Estimation for Non-Stationary Channels
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
by: Chen, Haoyu, et al.
Published: (2025)

DDiT: Dynamic Resource Allocation for Diffusion Transformer Model Serving
by: Huang, Heyang, et al.
Published: (2025)

On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers
by: Lu, Zhengxian, et al.
Published: (2024)

OTAS: An Elastic Transformer Serving System via Token Adaptation
by: Chen, Jinyu, et al.
Published: (2024)

Cephalo: Harnessing Heterogeneous GPU Clusters for Training Transformer Models
by: Guo, Runsheng Benson, et al.
Published: (2024)

A Cloud-Based Spatio-Temporal GNN-Transformer Hybrid Model for Traffic Flow Forecasting with External Feature Integration
by: Zheng, Zhuo, et al.
Published: (2025)

TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes
by: Zhang, Guilin, et al.
Published: (2025)

Transforming Lock-free Linked Lists into Distributed Lock-free Linked Lists
by: Ravishankar, Raaghav, et al.
Published: (2025)

FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
by: Zhu, Zhuoran, et al.
Published: (2025)

ClusterFusion++: Expanding Cluster-Level Fusion to Full Transformer-Block Decoding
by: Jin, ChiHeng, et al.
Published: (2026)

FlashMP: Fast Discrete Transform-Based Solver for Preconditioning Maxwell's Equations on GPUs
by: Zhang, Haoyuan, et al.
Published: (2025)

Hyperion: Low-Latency Ultra-HD Video Analytics via Collaborative Vision Transformer Inference
by: Jiang, Linyi, et al.
Published: (2025)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
by: Wu, Shixun, et al.
Published: (2024)

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
by: Liu, Ziming, et al.
Published: (2024)