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| 1 | Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer显示文摘In this paper we present the programming of the Linpack benchmark on TianHe-1 system,the first petascale supercomputer system of China,and the largest GPU-accelerated heterogeneous system ever attempted before.A hybrid programming model consisting of MPI,OpenMP and streaming computing is described to explore the task parallel,thread parallel and data parallel of the Linpack.We explain how we optimized the load distribution across the CPUs and GPUs using the two-level adaptive method and describe the implementation in details.To overcome the low-bandwidth between the CPU and GPU communication,we present a software pipelining technique to hide the communication overhead.Combined with other traditional optimizations,the Linpack we developed achieved 196.7 GFLOPS on a single compute element of TianHe-1.This result is 70.1% of the peak compute capability,3.3 times faster than the result by using the vendor's library.On the full configuration of TianHe-1 our optimizations resulted in a Linpack performance of 0.563 PFLOPS,which made TianHe-1 the 5th fastest supercomputer on the Top500 list in November,2009. | 王锋 杨灿群 杜云飞 陈娟 易会战 徐炜遐 | 2011 | Journal of Computer Science & Technology2011，26，5： | 2 |
| 2 | 基于GPGPU的LDPC解码访存优化技术显示文摘低密度奇偶校验码(low-density parity-check,LDPC)作为一类高性能的差错控制编码被用于多个通信标准中,但解码算法计算量巨大,限制了其潜能,基于通用图形处理器(general-purpose GPU,GPGPU)的LDPC解码器由于其灵活性,近年来备受关注。深入分析了LDPC解码算法特性,提出Tanner图的交织器表示,简化了解码算法;结合GPU体系结构特点提出自顶向下的多步优化策略,充分挖掘了GPU的加速性能。实验结果显示,平衡计算访存负载、合并对齐全局访存、充分利用寄存器资源,可显著提高GPU性能;相对于CPU实现,可取得383倍的加速,综合性能优于现有的基于GPU的LDPC解码实现。 | 原略超 张洋 唐川 邢座程 | 2013 | 中国科技论文2013，8，7： | 0 |
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