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06/05/2023
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Recent advances in large language model (LLM) pretraining have led to hi...
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04/15/2023
STen: Productive and Efficient Sparsity in PyTorch
As deep learning models grow, sparsity is becoming an increasingly criti...
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10/31/2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Generative Pre-trained Transformer (GPT) models set themselves apart thr...
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08/24/2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Important graph mining problems such as Clustering are computationally d...
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06/29/2022
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast
Post-processing ensemble prediction systems can improve weather forecast...
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05/10/2022
The spatial computer: A model for energy-efficient parallel computation
We present a new parallel model of computation suitable for spatial arch...
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06/29/2021
Flare: Flexible In-Network Allreduce
The allreduce operation is one of the most commonly used communication r...
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02/21/2020