1.4k citations · 2k across the 34 of their papers we have counts for
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Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor
Mian Lu, Lei Zhang, Huynh Phung Huynh +5
With the ease-of-programming, flexibility and yet efficiency, MapReduce has become one of the most popular frameworks for building big-data applications. MapReduce was originally d…
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture
Jiong He, Mian Lu, Bingsheng He
Query co-processing on graphics processors (GPUs) has become an effective means to improve the performance of main memory databases. However, the relatively low bandwidth and high…
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds
Amelie Chi Zhou, Bingsheng He, Cheng Liu
Recently, we have witnessed workflows from science and other data-intensive applications emerging on Infrastructure-asa-Service (IaaS) clouds, and many workflow service providers o…
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling
Jianlong Zhong, Bingsheng He
Graphics processors, or GPUs, have recently been widely used as accelerators in the shared environments such as clusters and clouds. In such shared environments, many kernels are s…