Jie Zhang
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    • CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access
    • Hyperion: Optimizing ssd access is all you need to enable cost-efficient out-of-core gnn training
    • RpcNIC: Enabling Efficient Datacenter RPC Offloading on PCIe-attached SmartNICs
    • Demystifying Datapath Accelerator Enhanced Off-path SmartNIC
    • DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications
    • Understanding Routable PCIe Performance for Composable Infrastructures
    • Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training
    • P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs
    • SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage
    • SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets
    • FpgaNIC: An FPGA-based versatile 100gb SmartNIC for GPUs
    • Shuhai: A tool for benchmarking high bandwidth memory on FPGAs
    • Shuhai: Benchmarking High Bandwidth Memory On FPGAS.
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scikit-learn

Oct 26, 2023 · 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Jie Zhang (张杰)
Authors
Jie Zhang (张杰)
ZJU 100 Young Professor

← PyTorch Oct 26, 2023

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