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A Tool for Top-down Performance Analysis of GPU-Accelerated Applications
To support performance measurement and analysis of GPU-accelerated applications, we extended the HPCToolkit performance tools with …
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GVPROF: A Value Profiler for GPU-Based Clusters
GPGPUs are widely used in high-performance computing systems to accelerate scientific and machine learning workloads. Developing …
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Tools for Top-down Performance Analysis of GPU-Accelerated Applications
This paper describes extensions to Rice University’s HPCToolkit performance tools to support measurement and analysis of …
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A Tool for Performance Analysis of GPU-Accelerated Applications
Architectures for High-Performance Computing (HPC) now commonly employ accelerators such as Graphics Processing Units (GPUs). …
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A Performance Analysis Framework for Exploiting GPU Microarchitectural Capability
GPUs are widely used in accelerating deep neural networks (DNNs) for their high bandwidth and parallelism. But tuning the performance …
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Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning
In this paper, we present a methodology to understand GPU microarchitectural features and improve performance for compute-intensive …
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BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search
MapReduce is an attractive programming model for large-scale data-parallel applications. However, the original MapReduce framework also …
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Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce
Mobile devices become more and more prevalent in recent years, especially in young groups. The rapid progress of mobile devices …
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