2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2024 — accepted papers
2012 International Conference for High Performance Computing, Networking, Storage and Analysis 2024 is the 2024 edition of the 2012 International Conference for High Performance Computing, Networking, Storage and Analysis. OpenAlex lists 111 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU’s Built-In Power Sensor ↗Zeyu Yang, Karel Adámek, Wesley Armour39 citations
- CUSZP2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio ↗Yafan Huang, Sheng Di, Guanpeng Li et al.29 citations
- Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators ↗Sameh Abdulah, Allison H. Baker, George Bosilca A et al.25 citations
- Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects ↗Daniele De Sensi, Lorenzo Pichetti, Flavio Vella et al.24 citations
- A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale ↗Wesley H. Brewer, Matthias Maiterth, Vineet Kumar et al.21 citations
- Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep LearningWei An, Xiao Bi, Guan-Ting Chen et al.21 citations · our summary
- ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments ↗Munkyu Lee, Sihoon Seong, Minki Kang et al.21 citations
- Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials ↗Ryan Stocks, Jorge Luis Galvez Vallejo, Fiona Yu et al.20 citations
- AmgT: Algebraic Multigrid Solver on Tensor Cores ↗Yuechen Lu, Lijie Zeng, Tengcheng Wang et al.18 citations
- CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation ↗Jinyang Liu, Jiannan Tian, Shixun Wu et al.18 citations
All accepted papers (111)
- Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU’s Built-In Power Sensor ↗Zeyu Yang, Karel Adámek, Wesley Armour39 citations
- CUSZP2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio ↗Yafan Huang, Sheng Di, Guanpeng Li et al.29 citations
- Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators ↗Sameh Abdulah, Allison H. Baker, George Bosilca A et al.25 citations
- Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects ↗Daniele De Sensi, Lorenzo Pichetti, Flavio Vella et al.24 citations
- A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale ↗Wesley H. Brewer, Matthias Maiterth, Vineet Kumar et al.21 citations
- Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep LearningWei An, Xiao Bi, Guan-Ting Chen et al.21 citations · our summary
- ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments ↗Munkyu Lee, Sihoon Seong, Minki Kang et al.21 citations
- Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials ↗Ryan Stocks, Jorge Luis Galvez Vallejo, Fiona Yu et al.20 citations
- AmgT: Algebraic Multigrid Solver on Tensor Cores ↗Yuechen Lu, Lijie Zeng, Tengcheng Wang et al.18 citations
- CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation ↗Jinyang Liu, Jiannan Tian, Shixun Wu et al.18 citations
- LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services ↗Malgorzata Lazuka, Andreea Anghel, Thomas Parnell18 citations
- A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers ↗Junlin Wei, Xiang Han, Jiangfeng Yu et al.17 citations
- EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing ↗Yankai Jiang, Rohan Basu Roy, Baolin Li et al.17 citations
- Network-Offloaded Bandwidth-Optimal Broadcast and Allgather for Distributed AI ↗Mikhail Khalilov, Salvatore Di Girolamo, Marcin Chrapek et al.17 citations
- Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link ↗Dong Xu, Yuan Feng, Kwang-Sik Shin et al.16 citations
- Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning ↗Hongwei Jin, George Papadimitriou, Krishnan Raghavan et al.16 citations
- Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer ↗Ana Luisa Veroneze Solórzano, Kento Sato, Keiji Yamamoto et al.16 citations
- Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System ↗Kylee Santos, Stan Moore, Tomas Oppelstrup et al.15 citations
- High Performance Unstructured SpMM Computation Using Tensor Cores ↗Patrik Okanovic, Grzegorz Kwaśniewski, Paolo Sylos Labini et al.15 citations
- DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows ↗Hariharan Devarajan, Loïc Pottier, Kaushik Velusamy et al.14 citations
- KaMPIng: Flexible and (Near) Zero-Overhead C++ Bindings for MPI ↗Tim Niklas Uhl, Matthias Schimek, Lukáš Hübner et al.14 citations
- ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability ↗Xiao Wang, Siyan Liu, Aristeidis Tsaris et al.14 citations
- autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures ↗Du Wu, Jintao Meng, Wenxi Zhu et al.14 citations
- LoRAStencil: Low-Rank Adaptation of Stencil Computation on Tensor Cores ↗Yiwei Zhang, Kun Li, Liang Yuan et al.13 citations
- Toward Capturing Genetic Epistasis from Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression ↗Hatem Ltaief, Rabab Alomairy, Qinglei Cao et al.13 citations
Papers with our summary in our library (1)
- Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisWei An, Xiao Bi, Guanting Chen, et al.2024 · 34 citations
Top topics
Fields
Top authors
🧑🔬Chengqi Deng1 work here · 34 citations🧑🔬Kai Dong1 work here · 34 citations🧑🔬Qiushi Du1 work here · 34 citations🧑🔬Wenjun Gao1 work here · 34 citations🧑🔬Xiao Bi1 work here · 34 citations
Top institutions
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