Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses von Park, Jeongmin Brian, Mailthody, Vikram Sharma, Qureshi, Zaid, Hwu, Wen-mei

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EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs von Min, Seung Won, Mailthody, Vikram Sharma, Qureshi, Zaid, Xiong, Jinjun, Ebrahimi, Eiman, Hwu, Wen-mei

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IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research von Khatua, Arpandeep, Vikram Sharma Mailthody, Taleka, Bhagyashree, Ma, Tengfei, Song, Xiang, Wen-mei Hwu

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GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture von Qureshi, Zaid, Vikram Sharma Mailthody, Gelado, Isaac, Min, Seung Won, Masood, Amna, Park, Jeongmin, Xiong, Jinjun, Newburn, C J, Vainbrand, Dmitri, I-Hsin, Chung, Garland, Michael, Dally, William, Wen-mei Hwu

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LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme von Park, Jeongmin Brian, Wu, Kun, Mailthody, Vikram Sharma, Quresh, Zaid, Mahlke, Scott, Hwu, Wen-mei

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TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading von Wu, Kun, Park, Jeongmin Brian, Zhang, Xiaofan, Hidayetoğlu, Mert, Mailthody, Vikram Sharma, Huang, Sitao, Lumetta, Steven Sam, Hwu, Wen-mei

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Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses von Park, Jeongmin Brian, Mailthody, Vikram Sharma, Qureshi, Zaid, Hwu, Wen-mei

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IMAGE COMPRESSION AUGMENTED WITH A LEARNING-BASED SUPER RESOLUTION MODEL von XIONG, Jinjun, CHEN, Nicholas, MAILTHODY, Vikram Sharma, WEI, James

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CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs von Park, Jeongmin, Qureshi, Zaid, Mailthody, Vikram, Gacek, Andrew, Shao, Shunfan, AlMasri, Mohammad, Gelado, Isaac, Xiong, Jinjun, Newburn, Chris, Chung, I-hsin, Garland, Michael, Sakharnykh, Nikolay, Hwu, Wen-mei

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Tearing Down the Memory Wall von Qureshi, Zaid, Mailthody, Vikram Sharma, Min, Seung Won, Chung, I-Hsin, Xiong, Jinjun, Hwu, Wen-mei

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At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation von Hidayetoglu, Mert, Pearson, Carl, Mailthody, Vikram Sharma, Ebrahimi, Eiman, Xiong, Jinjun, Nagi, Rakesh, Hwu, Wen-Mei

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I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths von Nam, Hyoungwook, Seo, Seung Byum, Mailthody, Vikram Sharma, Michael, Noor, Li, Lan

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EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs von Min, Seung Won, Mailthody, Vikram Sharma, Qureshi, Zaid, Xiong, Jinjun, Ebrahimi, Eiman, Hwu, Wen-mei

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Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19 von Mailthody, Vikram Sharma, Wei, James, Chen, Nicholas, Behnia, Mohammad, Yao, Ruihao, Wang, Qihao, Agrawal, Vedant, He, Churan, Wang, Lijian, Chen, Leihao, Agarwal, Amit, Richter, Edward, Hwu, Wen-Mei, Fletcher, Christopher W, Xiong, Jinjun, Miller, Andrew, Patel, Sanjay

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CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs von Park, Jeongmin, Qureshi, Zaid, Mailthody, Vikram, Gacek, Andrew, Shao, Shunfan, AlMasri, Mohammad, Gelado, Isaac, Xiong, Jinjun, Newburn, Chris, I-hsin, Chung, Garland, Michael, Sakharnykh, Nikolay, Wen-mei Hwu

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Systolic array of pipelined processing engines for implementing dynamic programming algorithms von Manjunath, Rekha, Mailthody, Vikram Sharma, Patil, Saurabh, Makkadayil, Srajudheen, Singh, Tarjinder

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SYSTOLIC ARRAY OF PIPELINED PROCESSING ENGINES FOR IMPLEMENTING DYNAMIC PROGRAMMING ALGORITHMS von Manjunath, Rekha, Mailthody, Vikram Sharma, Patil, Saurabh, Makkadayil, Srajudheen, Singh, Tarjinder

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LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme von Park, Jeongmin Brian, Wu, Kun, Vikram Sharma Mailthody, Quresh, Zaid, Mahlke, Scott, Wen-mei Hwu

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Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses von Park, Jeongmin Brian, Vikram Sharma Mailthody, Qureshi, Zaid, Wen-mei Hwu

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TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading von Wu, Kun, Park, Jeongmin Brian, Zhang, Xiaofan, Hidayetoğlu, Mert, Vikram Sharma Mailthody, Huang, Sitao, Lumetta, Steven Sam, Wen-mei Hwu

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