Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression | Paper Citation Record

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression 2023.AMD Instinct™MI300X Accelerator: Technical Overview

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

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This paper cites Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs.

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression QLoRA: Efficient Finetuning of Quantized LLMs

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Unresolved cited work

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Retrieval-Augmented Generation for Large Language Models: A Survey

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Unresolved cited work

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Towards Reasoning in Large Language Models: A Survey

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Mixtral of Experts

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Scaling Laws for Neural Language Models

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Aamodt, and Timothy G

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression SqueezeLLM: Dense-and-Sparse Quantization

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Analyzing Machine Learning Workloads Using a Detailed GPU Simulator

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Pointer Sentinel Mixture Models

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression GPT-4 Technical Report

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Splitwise: Efficient generative LLM inference using phase splitting

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Gibbons, Michael A

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Reference 62

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Reference 63

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Attention Is All You Need

Reference 64

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 69

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 70

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 71

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Reference 72

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers

Reference 73

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Reference 2019

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

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Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression https://doi.org/10.1109/MCAS.2024.3476008

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Pith citing papers