Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling
Fuente:
arXiv
Saved in:
| Main Authors: | Atmer, Hannah, Yao, Yuan, Voigt, Thiemo, Kaxiras, Stefanos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ETM2: Empowering Traditional Memory Bandwidth Regulation using ETM
by: Zuepke, Alexander, et al.
Published: (2026)
by: Zuepke, Alexander, et al.
Published: (2026)
Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
by: Zhang, Niansong, et al.
Published: (2025)
by: Zhang, Niansong, et al.
Published: (2025)
OPTIMA: Design-Space Exploration of Discharge-Based In-SRAM Computing: Quantifying Energy-Accuracy Trade-Offs
by: Seyedfaraji, Saeed, et al.
Published: (2024)
by: Seyedfaraji, Saeed, et al.
Published: (2024)
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
by: Nasr-Esfahany, Arash, et al.
Published: (2025)
by: Nasr-Esfahany, Arash, et al.
Published: (2025)
USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks
by: Ibrahim, Muhammad Sohail, et al.
Published: (2024)
by: Ibrahim, Muhammad Sohail, et al.
Published: (2024)
PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs
by: Saha, Rappy, et al.
Published: (2026)
by: Saha, Rappy, et al.
Published: (2026)
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
by: Zhang, Tim, et al.
Published: (2022)
by: Zhang, Tim, et al.
Published: (2022)
Search Your Block Floating Point Scales!
by: Gupta, Tanmaey, et al.
Published: (2026)
by: Gupta, Tanmaey, et al.
Published: (2026)
A2Q+: Improving Accumulator-Aware Weight Quantization
by: Colbert, Ian, et al.
Published: (2024)
by: Colbert, Ian, et al.
Published: (2024)
SONIQ: System-Optimized Noise-Injected Ultra-Low-Precision Quantization with Full-Precision Parity
by: Zhou, Cyrus, et al.
Published: (2023)
by: Zhou, Cyrus, et al.
Published: (2023)
GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Learning
by: Wang, Jiaqi, et al.
Published: (2026)
by: Wang, Jiaqi, et al.
Published: (2026)
Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads
by: Karami, Rachid, et al.
Published: (2024)
by: Karami, Rachid, et al.
Published: (2024)
Graph neural networks with configuration cross-attention for tensor compilers
by: Khizbullin, Dmitrii, et al.
Published: (2024)
by: Khizbullin, Dmitrii, et al.
Published: (2024)
Non-Monotonic Latency in Apple MPS Decoding: KV Cache Interactions and Execution Regimes
by: Hendria, Willy Fitra
Published: (2026)
by: Hendria, Willy Fitra
Published: (2026)
Examem: Low-Overhead Memory Instrumentation for Intelligent Memory Systems
by: Poduval, Ashwin, et al.
Published: (2024)
by: Poduval, Ashwin, et al.
Published: (2024)
RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis
by: Bi, Zhen, et al.
Published: (2026)
by: Bi, Zhen, et al.
Published: (2026)
Heterogeneous Memory Benchmarking Toolkit
by: Ghaemi, Golsana, et al.
Published: (2025)
by: Ghaemi, Golsana, et al.
Published: (2025)
TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs
by: Qiao, Ye, et al.
Published: (2025)
by: Qiao, Ye, et al.
Published: (2025)
A$^3$PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader
by: Jiang, Qingcai, et al.
Published: (2024)
by: Jiang, Qingcai, et al.
Published: (2024)
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
by: Yang, Hanchen, et al.
Published: (2025)
by: Yang, Hanchen, et al.
Published: (2025)
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
by: Zhang, Hang, et al.
Published: (2025)
by: Zhang, Hang, et al.
Published: (2025)
Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling
by: Patwari, Rajeev, et al.
Published: (2025)
by: Patwari, Rajeev, et al.
Published: (2025)
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
by: Zhou, Zikai, et al.
Published: (2025)
by: Zhou, Zikai, et al.
Published: (2025)
SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs
by: AbouElhamayed, Ahmed F., et al.
Published: (2025)
by: AbouElhamayed, Ahmed F., et al.
Published: (2025)
FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing
by: Müller, Mika Markus, et al.
Published: (2025)
by: Müller, Mika Markus, et al.
Published: (2025)
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
by: Chrapek, Marcin, et al.
Published: (2025)
by: Chrapek, Marcin, et al.
Published: (2025)
DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance
by: Palaniappan, Kathiravan
Published: (2026)
by: Palaniappan, Kathiravan
Published: (2026)
Design Space Exploration of Approximate Computing Techniques with a Reinforcement Learning Approach
by: Saeedi, Sepide, et al.
Published: (2023)
by: Saeedi, Sepide, et al.
Published: (2023)
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators
by: Lübeck, Konstantin, et al.
Published: (2024)
by: Lübeck, Konstantin, et al.
Published: (2024)
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
by: Chhugani, Jatin, et al.
Published: (2026)
by: Chhugani, Jatin, et al.
Published: (2026)
It's all about PR -- Smart Benchmarking AI Accelerators using Performance Representatives
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
Characterizing and Understanding HGNN Training on GPUs
by: Han, Dengke, et al.
Published: (2024)
by: Han, Dengke, et al.
Published: (2024)
DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
by: Yang, Peiming, et al.
Published: (2025)
by: Yang, Peiming, et al.
Published: (2025)
DAISM: Digital Approximate In-SRAM Multiplier-based Accelerator for DNN Training and Inference
by: Sonnino, Lorenzo, et al.
Published: (2023)
by: Sonnino, Lorenzo, et al.
Published: (2023)
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
by: Giannoula, Christina, et al.
Published: (2024)
by: Giannoula, Christina, et al.
Published: (2024)
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression
by: Fan, Ruibo, et al.
Published: (2026)
by: Fan, Ruibo, et al.
Published: (2026)
TeLLMe v2: An Efficient End-to-End Ternary LLM Prefill and Decode Accelerator with Table-Lookup Matmul on Edge FPGAs
by: Qiao, Ye, et al.
Published: (2025)
by: Qiao, Ye, et al.
Published: (2025)
A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors
by: Kuper, Reese, et al.
Published: (2023)
by: Kuper, Reese, et al.
Published: (2023)
H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory
by: Doumet, Mario, et al.
Published: (2024)
by: Doumet, Mario, et al.
Published: (2024)
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
by: Wu, Haoran, et al.
Published: (2025)
by: Wu, Haoran, et al.
Published: (2025)
Similar Items
-
ETM2: Empowering Traditional Memory Bandwidth Regulation using ETM
by: Zuepke, Alexander, et al.
Published: (2026) -
Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
by: Zhang, Niansong, et al.
Published: (2025) -
OPTIMA: Design-Space Exploration of Discharge-Based In-SRAM Computing: Quantifying Energy-Accuracy Trade-Offs
by: Seyedfaraji, Saeed, et al.
Published: (2024) -
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
by: Nasr-Esfahany, Arash, et al.
Published: (2025) -
USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks
by: Ibrahim, Muhammad Sohail, et al.
Published: (2024)