Summary of Mixpe: Quantization and Hardware Co-design For Efficient Llm Inference, by Yu Zhang et al.
MixPE: Quantization and Hardware Co-design for Efficient LLM Inferenceby Yu Zhang, Mingzi Wang, Lancheng Zou,…
Summary of Flare: Fp-less Ptq and Low-enob Adc Based Ams-pim For Error-resilient, Fast, and Efficient Transformer Acceleration, by Donghyeon Yi et al.
FLARE: FP-Less PTQ and Low-ENOB ADC Based AMS-PiM for Error-Resilient, Fast, and Efficient Transformer Accelerationby…
Summary of Automixq: Self-adjusting Quantization For High Performance Memory-efficient Fine-tuning, by Changhai Zhou et al.
AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuningby Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Zekai…
Summary of Efqat: An Efficient Framework For Quantization-aware Training, by Saleh Ashkboos et al.
EfQAT: An Efficient Framework for Quantization-Aware Trainingby Saleh Ashkboos, Bram Verhoef, Torsten Hoefler, Evangelos Eleftheriou,…
Summary of Communication Compression For Tensor Parallel Llm Inference, by Jan Hansen-palmus et al.
Communication Compression for Tensor Parallel LLM Inferenceby Jan Hansen-Palmus, Michael Truong Le, Oliver Hausdörfer, Alok…
Summary of Towards Low-bit Communication For Tensor Parallel Llm Inference, by Harry Dong et al.
Towards Low-bit Communication for Tensor Parallel LLM Inferenceby Harry Dong, Tyler Johnson, Minsik Cho, Emad…
Summary of Aser: Activation Smoothing and Error Reconstruction For Large Language Model Quantization, by Weibo Zhao et al.
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantizationby Weibo Zhao, Yubin Shi,…
Summary of Sketched Adaptive Federated Deep Learning: a Sharp Convergence Analysis, by Zhijie Chen et al.
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysisby Zhijie Chen, Qiaobo Li, Arindam BanerjeeFirst…
Summary of Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Framework, by Jingyi Zhou et al.
Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Frameworkby Jingyi Zhou, Senlin Luo, Haofan…
Summary of Intelligent Fault Diagnosis Of Type and Severity in Low-frequency, Low Bit-depth Signals, by Tito Spadini and Kenji Nose-filho and Ricardo Suyama
Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signalsby Tito Spadini, Kenji…