SliceMoE: Bit-Sliced Expert Caching under Miss-Rate Constraints for Efficient MoE Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Yuseon, Kim, Sangjin, Oh, Jungjun, Park, Gwangtae, Kim, Byeongcheol, Yoo, Hoi-Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision
by: Choi, Yuseon, et al.
Published: (2025)
by: Choi, Yuseon, et al.
Published: (2025)
ELMoE-3D: Leveraging Intrinsic Elasticity of MoE for Hybrid-Bonding-Enabled Self-Speculative Decoding in On-Premises Serving
by: Choi, Yuseon, et al.
Published: (2026)
by: Choi, Yuseon, et al.
Published: (2026)
MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing
by: Ma, Haiyue, et al.
Published: (2025)
by: Ma, Haiyue, et al.
Published: (2025)
Expert Streaming: Accelerating Low-Batch MoE Inference via Multi-chiplet Architecture and Dynamic Expert Trajectory Scheduling
by: Ma, Songchen, et al.
Published: (2026)
by: Ma, Songchen, et al.
Published: (2026)
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness
by: Wang, Huizheng, et al.
Published: (2025)
by: Wang, Huizheng, et al.
Published: (2025)
FlashMoE: Fast Distributed MoE in a Single Kernel
by: Aimuyo, Osayamen Jonathan, et al.
Published: (2025)
by: Aimuyo, Osayamen Jonathan, et al.
Published: (2025)
A 0.5V, 6.2$μ$W, 0.059mm$^{2}$ Sinusoidal Current Generator IC with 0.088% THD for Bio-Impedance Sensing
by: Kim, Kwantae, et al.
Published: (2024)
by: Kim, Kwantae, et al.
Published: (2024)
A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration
by: Huang, Wei-Hsing, et al.
Published: (2025)
by: Huang, Wei-Hsing, et al.
Published: (2025)
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
by: Hwang, Ranggi, et al.
Published: (2023)
by: Hwang, Ranggi, et al.
Published: (2023)
Optimized Memory System Architecture for VESA VDC-M Decoder with Multi-Slice Support
by: Yang, Hannah, et al.
Published: (2025)
by: Yang, Hannah, et al.
Published: (2025)
Panacea: Novel DNN Accelerator using Accuracy-Preserving Asymmetric Quantization and Energy-Saving Bit-Slice Sparsity
by: Kam, Dongyun, et al.
Published: (2024)
by: Kam, Dongyun, et al.
Published: (2024)
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
by: Luo, Shuqing, et al.
Published: (2026)
by: Luo, Shuqing, et al.
Published: (2026)
Weight Transformations in Bit-Sliced Crossbar Arrays for Fault Tolerant Computing-in-Memory: Design Techniques and Evaluation Framework
by: Malhotra, Akul, et al.
Published: (2025)
by: Malhotra, Akul, et al.
Published: (2025)
Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not Tokens
by: Yu, Yanpeng, et al.
Published: (2025)
by: Yu, Yanpeng, et al.
Published: (2025)
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
by: Zhou, Zhuoshan, et al.
Published: (2026)
by: Zhou, Zhuoshan, et al.
Published: (2026)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
by: Chen, Yuzong, et al.
Published: (2024)
by: Chen, Yuzong, et al.
Published: (2024)
UbiMoE: A Ubiquitous Mixture-of-Experts Vision Transformer Accelerator With Hybrid Computation Pattern on FPGA
by: Dong, Jiale, et al.
Published: (2025)
by: Dong, Jiale, et al.
Published: (2025)
TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading
by: Pan, Yudong, et al.
Published: (2026)
by: Pan, Yudong, et al.
Published: (2026)
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
by: Pan, Yue, et al.
Published: (2025)
by: Pan, Yue, et al.
Published: (2025)
A 28.6 mJ/iter Stable Diffusion Processor for Text-to-Image Generation with Patch Similarity-based Sparsity Augmentation and Text-based Mixed-Precision
by: Choi, Jiwon, et al.
Published: (2024)
by: Choi, Jiwon, et al.
Published: (2024)
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models
by: Kim, Taehyun, et al.
Published: (2024)
by: Kim, Taehyun, et al.
Published: (2024)
AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures
by: Shende, Omkar B, et al.
Published: (2026)
by: Shende, Omkar B, et al.
Published: (2026)
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration
by: Taka, Endri, et al.
Published: (2025)
by: Taka, Endri, et al.
Published: (2025)
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference
by: Moon, Seungjae, et al.
Published: (2024)
by: Moon, Seungjae, et al.
Published: (2024)
A4: Microarchitecture-Aware LLC Management for Datacenter Servers with Emerging I/O Devices
by: Park, Haneul, et al.
Published: (2025)
by: Park, Haneul, et al.
Published: (2025)
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory
by: Hong, Jeongmin, et al.
Published: (2024)
by: Hong, Jeongmin, et al.
Published: (2024)
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization
by: Kim, Minsu, et al.
Published: (2025)
by: Kim, Minsu, et al.
Published: (2025)
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization
by: Kim, Daeun, et al.
Published: (2025)
by: Kim, Daeun, et al.
Published: (2025)
Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-Experts
by: Yun, Sungmin, et al.
Published: (2025)
by: Yun, Sungmin, et al.
Published: (2025)
MERE: Hardware-Software Co-Design for Masking Cache Miss Latency in Embedded Processors
by: You, Dean, et al.
Published: (2025)
by: You, Dean, et al.
Published: (2025)
RED: Energy Optimization Framework for eDRAM-based PIM with Reconfigurable Voltage Swing and Retention-aware Scheduling
by: Kim, Jae-Young, et al.
Published: (2025)
by: Kim, Jae-Young, et al.
Published: (2025)
Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits
by: Kim, Dowon, et al.
Published: (2025)
by: Kim, Dowon, et al.
Published: (2025)
Area-Efficient In-Memory Computing for Mixture-of-Experts via Multiplexing and Caching
by: Gao, Hanyuan, et al.
Published: (2026)
by: Gao, Hanyuan, et al.
Published: (2026)
LOCALUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM
by: Hong, Junguk, et al.
Published: (2026)
by: Hong, Junguk, et al.
Published: (2026)
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing
by: Heo, Guseul, et al.
Published: (2024)
by: Heo, Guseul, et al.
Published: (2024)
Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference
by: Yu, Zhongkai, et al.
Published: (2025)
by: Yu, Zhongkai, et al.
Published: (2025)
CacheMind: From Miss Rates to Why -- Natural-Language, Trace-Grounded Reasoning for Cache Replacement
by: Mhapsekar, Kaushal, et al.
Published: (2026)
by: Mhapsekar, Kaushal, et al.
Published: (2026)
MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization
by: Kim, Seeyeon, et al.
Published: (2026)
by: Kim, Seeyeon, et al.
Published: (2026)
STRAW: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs
by: Chun, Myoungjun, et al.
Published: (2025)
by: Chun, Myoungjun, et al.
Published: (2025)
Similar Items
-
SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision
by: Choi, Yuseon, et al.
Published: (2025) -
ELMoE-3D: Leveraging Intrinsic Elasticity of MoE for Hybrid-Bonding-Enabled Self-Speculative Decoding in On-Premises Serving
by: Choi, Yuseon, et al.
Published: (2026) -
MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing
by: Ma, Haiyue, et al.
Published: (2025) -
Expert Streaming: Accelerating Low-Batch MoE Inference via Multi-chiplet Architecture and Dynamic Expert Trajectory Scheduling
by: Ma, Songchen, et al.
Published: (2026) -
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness
by: Wang, Huizheng, et al.
Published: (2025)