Saved in:
| Main Authors: | Vural, Turan, Yuminaga, Yuki, Petrosyan, Alex, Livshits, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.04129 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SkyMemory: A LEO Edge Cache for Transformer Inference Optimization and Scale Out
by: Sandholm, Thomas, et al.
Published: (2025)
by: Sandholm, Thomas, et al.
Published: (2025)
Lollipop: SVM Rollups on Solana
by: Cardenas, Irvin Steve, et al.
Published: (2024)
by: Cardenas, Irvin Steve, et al.
Published: (2024)
CrowdProve: Community Proving for ZK Rollups
by: Stephan, John, et al.
Published: (2025)
by: Stephan, John, et al.
Published: (2025)
Rorqual: Speeding up Narwhal with TEEs
by: Freitas, Luciano, et al.
Published: (2024)
by: Freitas, Luciano, et al.
Published: (2024)
Experimental Analysis of Server-Side Caching for Web Performance
by: Umar, Mohammad, et al.
Published: (2026)
by: Umar, Mohammad, et al.
Published: (2026)
Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist
by: Luo, Yicong, et al.
Published: (2025)
by: Luo, Yicong, et al.
Published: (2025)
DiFache: Efficient and Scalable Caching on Disaggregated Memory using Decentralized Coherence
by: Zhang, Hanze, et al.
Published: (2025)
by: Zhang, Hanze, et al.
Published: (2025)
MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)
by: Hu, Cunchen, et al.
Published: (2024)
MEV Capture Through Time-Advantaged Arbitrage
by: Fritsch, Robin, et al.
Published: (2024)
by: Fritsch, Robin, et al.
Published: (2024)
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
by: Wang, Mengdi, et al.
Published: (2024)
by: Wang, Mengdi, et al.
Published: (2024)
TraCT: Disaggregated LLM Serving with CXL Shared Memory KV Cache at Rack-Scale
by: Yoon, Dongha, et al.
Published: (2025)
by: Yoon, Dongha, et al.
Published: (2025)
Comparative Analysis of Distributed Caching Algorithms: Performance Metrics and Implementation Considerations
by: Mayer, Helen, et al.
Published: (2025)
by: Mayer, Helen, et al.
Published: (2025)
Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
by: Lacey, Dane C., et al.
Published: (2024)
by: Lacey, Dane C., et al.
Published: (2024)
Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management
by: Qianli, Liu, et al.
Published: (2025)
by: Qianli, Liu, et al.
Published: (2025)
PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile Devices
by: Liu, Kaiwei, et al.
Published: (2025)
by: Liu, Kaiwei, et al.
Published: (2025)
Adaptive K-PackCache: Cost-Centric Data Caching in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)
by: Sarkar, Suvarthi, et al.
Published: (2025)
Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit
by: Uchino, Yuki, et al.
Published: (2024)
by: Uchino, Yuki, et al.
Published: (2024)
CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration
by: Nian, Sean, et al.
Published: (2026)
by: Nian, Sean, et al.
Published: (2026)
CXL Shared Memory Programming: Barely Distributed and Almost Persistent
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
Min-Max Gathering on Infinite Grid
by: Chakraborty, Abhinav, et al.
Published: (2024)
by: Chakraborty, Abhinav, et al.
Published: (2024)
High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines
by: Uchino, Yuki, et al.
Published: (2025)
by: Uchino, Yuki, et al.
Published: (2025)
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)
by: Wu, Zhiyuan, et al.
Published: (2023)
CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models
by: Yi, Mengjun, et al.
Published: (2025)
by: Yi, Mengjun, et al.
Published: (2025)
Byzantine Fault-Tolerant Min-Max Optimization
by: Liu, Shuo, et al.
Published: (2022)
by: Liu, Shuo, et al.
Published: (2022)
System-Level Performance Modeling of Photonic In-Memory Computing
by: Arockiaraj, Jebacyril, et al.
Published: (2026)
by: Arockiaraj, Jebacyril, et al.
Published: (2026)
Cache Coherence Over Disaggregated Memory
by: Wang, Ruihong, et al.
Published: (2024)
by: Wang, Ruihong, et al.
Published: (2024)
Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation
by: Nicolae, Radu, et al.
Published: (2026)
by: Nicolae, Radu, et al.
Published: (2026)
An Asynchronous Many-Task Algorithm for Unstructured $S_{N}$ Transport on Shared Memory Systems
by: Elwood, Alex, et al.
Published: (2025)
by: Elwood, Alex, et al.
Published: (2025)
Caching Aided Multi-Tenant Serverless Computing
by: Qiao, Chu, et al.
Published: (2024)
by: Qiao, Chu, et al.
Published: (2024)
On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers
by: Lu, Zhengxian, et al.
Published: (2024)
by: Lu, Zhengxian, et al.
Published: (2024)
Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications
by: Cooper, Bennett, et al.
Published: (2024)
by: Cooper, Bennett, et al.
Published: (2024)
Efficient LLM Inference with Activation Checkpointing and Hybrid Caching
by: Lee, Sanghyeon, et al.
Published: (2025)
by: Lee, Sanghyeon, et al.
Published: (2025)
Performance analysis of mdx II: A next-generation cloud platform for cross-disciplinary data science research
by: Takahashi, Keichi, et al.
Published: (2025)
by: Takahashi, Keichi, et al.
Published: (2025)
Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance
by: Piao, XinYu, et al.
Published: (2021)
by: Piao, XinYu, et al.
Published: (2021)
Cppless: Single-Source and High-Performance Serverless Programming in C++
by: Copik, Marcin, et al.
Published: (2024)
by: Copik, Marcin, et al.
Published: (2024)
PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers
by: Zhang, Hongbin, et al.
Published: (2026)
by: Zhang, Hongbin, et al.
Published: (2026)
Performance Trade-offs of High Order Meshless Approximation on Distributed Memory Systems
by: Vehovar, Jon, et al.
Published: (2025)
by: Vehovar, Jon, et al.
Published: (2025)
KV Cache Compression for Inference Efficiency in LLMs: A Review
by: Liu, Yanyu, et al.
Published: (2025)
by: Liu, Yanyu, et al.
Published: (2025)
uBFT: Microsecond-scale BFT using Disaggregated Memory [Extended Version]
by: Aguilera, Marcos K., et al.
Published: (2022)
by: Aguilera, Marcos K., et al.
Published: (2022)
Similar Items
-
SkyMemory: A LEO Edge Cache for Transformer Inference Optimization and Scale Out
by: Sandholm, Thomas, et al.
Published: (2025) -
Lollipop: SVM Rollups on Solana
by: Cardenas, Irvin Steve, et al.
Published: (2024) -
CrowdProve: Community Proving for ZK Rollups
by: Stephan, John, et al.
Published: (2025) -
Rorqual: Speeding up Narwhal with TEEs
by: Freitas, Luciano, et al.
Published: (2024) -
Experimental Analysis of Server-Side Caching for Web Performance
by: Umar, Mohammad, et al.
Published: (2026)