GDM: device memory management for gpgpu computing
暂无分享,去创建一个
[1] Peter J. Denning,et al. Third Generation Computer Systems , 1971, CSUR.
[2] Vanish Talwar,et al. Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems , 2011, USENIX Annual Technical Conference.
[3] John E. Stone,et al. An asymmetric distributed shared memory model for heterogeneous parallel systems , 2010, ASPLOS XV.
[4] Aaftab Munshi,et al. The OpenCL specification , 2009, 2009 IEEE Hot Chips 21 Symposium (HCS).
[5] Feng Ji,et al. RSVM: A Region-based Software Virtual Memory for GPU , 2013, Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques.
[6] Hyesoon Kim. Supporting virtual memory in GPGPU without supporting precise exceptions , 2012, MSPC '12.
[7] Jack J. Purdum,et al. C programming guide , 1983 .
[8] Tom R. Halfhill. NVIDIA's Next-Generation CUDA Compute and Graphics Architecture, Code-Named Fermi, Adds Muscle for Parallel Processing , 2009 .
[9] David I. August,et al. Automatic CPU-GPU communication management and optimization , 2011, PLDI '11.
[10] Joel H. Saltz,et al. Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems , 2012, Proc. VLDB Endow..
[11] Karthikeyan Sankaralingam,et al. iGPU: Exception support and speculative execution on GPUs , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).
[12] Jingren Zhou,et al. SCOPE: easy and efficient parallel processing of massive data sets , 2008, Proc. VLDB Endow..
[13] A. Snavely,et al. Symbiotic jobscheduling for a simultaneous mutlithreading processor , 2000, SIGP.
[14] Seungyeop Han,et al. SSLShader: Cheap SSL Acceleration with Commodity Processors , 2011, NSDI.
[15] Yuan Yuan,et al. The Yin and Yang of Processing Data Warehousing Queries on GPU Devices , 2013, Proc. VLDB Endow..
[16] John Poulton. An embedded DRAM for CMOS ASICs , 1997, Proceedings Seventeenth Conference on Advanced Research in VLSI.
[17] Idit Keidar,et al. GPUfs: Integrating a file system with GPUs , 2013, TOCS.
[18] Mark Silberstein,et al. PTask: operating system abstractions to manage GPUs as compute devices , 2011, SOSP.
[19] Shinpei Kato,et al. TimeGraph: GPU Scheduling for Real-Time Multi-Tasking Environments , 2011, USENIX Annual Technical Conference.
[20] Lei Jiang,et al. Die Stacking (3D) Microarchitecture , 2006, 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06).
[21] Michael R. Macedonia,et al. The GPU Enters Computing's Mainstream , 2003, Computer.
[22] Pradeep Dubey,et al. Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU , 2010, ISCA.
[23] Peter J. Denning,et al. Virtual memory , 1970, CSUR.
[24] Dawson R. Engler,et al. Exterminate all operating system abstractions , 1995, Proceedings 5th Workshop on Hot Topics in Operating Systems (HotOS-V).
[25] Shinpei Kato,et al. Gdev: First-Class GPU Resource Management in the Operating System , 2012, USENIX Annual Technical Conference.
[26] Erik Lindholm,et al. NVIDIA Tesla: A Unified Graphics and Computing Architecture , 2008, IEEE Micro.
[27] Kevin Skadron,et al. Rodinia: A benchmark suite for heterogeneous computing , 2009, 2009 IEEE International Symposium on Workload Characterization (IISWC).
[28] Razvan Pascanu,et al. Theano: A CPU and GPU Math Compiler in Python , 2010, SciPy.