GPUQP: Query Co-Processing Using Graphics Processors
A graphics processing unit (GPU) is an integral part of most computing devices including PCs, laptops, consoles and cell phones. GPUs are highly specialized architectures designed for gaming applications, and can be regarded as massively parallel processors with 10x higher computation and 10x higher memory performance than CPUs. For instance, the NVIDIA GeForce 8800 GPU has over a hundred pixel program processors with an observed performance of 330 GFLOPS and a peak memory bandwidth of 86 GB/s. GPUs are also becoming increasingly programmable enabling them to perform many general purpose algorithms (GPGPU) an order of magnitude faster than CPUs. Moreover, GPUs are progressing at a rate faster than CPUs. In this project, we explore in-memory query co-processing using GPUs to fully exploit their architectural features. Our ongoing work also includes Mars, a MapReduce framework on the GPU.
- Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, and Pedro V. Sander. Relational Query Co-Processing on Graphics Processors. TODS Dec 2009.
- Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, and Pedro V. Sander. Relational Joins on Graphics Processors. ACM SIGMOD 2008.
- Bingsheng He, Naga K. Govindaraju, Qiong Luo, and Burton Smith. Efficient Gather and Scatter Operations on Graphics Processors. ACM/IEEE SuperComputing(SC), Nov 2007.
- Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, and Pedro V. Sander. GPUQP: Query Co-Processing Using Graphics Processors. SIGMOD'07. (Demo)
- Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro Sander, and Jiaoying Shi. In-Memory Grid Files on Graphics Processors. ACM SIGMOD Third International Workshop on Data Management on New Hardware 2007.
- Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju , Qiong Luo, and Pedro V. Sander. Relational Joins on Graphics Processors. Technical Report HKUST-CS07-06, Department of Computer Science and Engineering, HKUST, Mar 2007.
Nov 16, 2009: source code (4MB zip package).
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