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Results 1 - 10
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1,356
Index Terms—source-to-source translation, GPU, CUDA,
"... Abstract—The proliferation of heterogeneous computing sys-tems has led to increased interest in parallel architectures and their associated programming models. One of the most promising models for heterogeneous computing is the accelerator model, and one of the most cost-effective, high-performance ..."
Abstract
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-performance accelerators currently available is the general-purpose, graphics processing unit (GPU). Two similar programming environments have been proposed for GPUs: CUDA and OpenCL. While there are more lines of code already written in CUDA, OpenCL is an open standard that supports on a broader range of devices. Hence
Supporting x86-64 Address Translation for 100s of GPU Lanes
"... Efficient memory sharing between CPU and GPU threads can greatly expand the effective set of GPGPU workloads. For increased programmability, this memory should be uniformly virtualized, necessitating compatible address translation support for GPU memory references. However, even a modest GPU might n ..."
Abstract
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Cited by 1 (0 self)
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Efficient memory sharing between CPU and GPU threads can greatly expand the effective set of GPGPU workloads. For increased programmability, this memory should be uniformly virtualized, necessitating compatible address translation support for GPU memory references. However, even a modest GPU might
The Multikernel: A new OS architecture for scalable multicore systems
, 2009
"... Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instruction sets and variants, and IO configurations. Previous high-performance computing systems have scaled in specific cases, but ..."
Abstract
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Cited by 206 (20 self)
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the networked nature of the machine, rethinking OS architecture using ideas from distributed systems. We investigate a new OS structure, the multikernel, that treats the machine as a network of independent cores, assumes no inter-core sharing at the lowest level, and moves traditional OS functionality to a
Security Considerations of Commodity x86 Virtualization
, 2006
"... Hardware virtualization allows physical hardware of a single computer to be shared between multiple operating systems in a nearly transparent manner. A virtual machine monitor provides each operating system virtual resources which are backed by physical resources of the hardware. Though increasing s ..."
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Cited by 1 (0 self)
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survey of commodity x86 hardware virtualization. We also consider virtualization security from two viewpoints: we first develop a security model for virtualization using an asset-threats approach, and then consider how virtualization can be used to improve system security. Finally, we discuss security
Modeling gpu-cpu workloads and systems
- GPGPU
, 2010
"... Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain ex-perts to optimize a high performance application for a very specific and well documented system, it may not perform as well or even ..."
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Cited by 16 (0 self)
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frame-work that attempts to predict the performance of similar classes of applications on different processors. Most signifi-cantly, this study identifies several non-intuitive relation-ships between program characteristics and demonstrates that it is possible to accurately model CUDA kernel perfor
Accelerating Java on Embedded GPU
, 2014
"... ii Multicore CPUs (Central Processing Units) and GPUs (Graphics Processing Units) are omnipresent in today’s market-leading smartphones and tablets. With CPUs and GPUs getting more complex, maximizing hardware utilization is becoming problematic. The challenges faced in GPGPU (General Purpose comput ..."
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quad-core ARM Cortex A9 CPU and a Vivante GC 2000 GPU that supports the OpenCL 1.1 Embedded Profile. We successfully accelerated Java code and reduced energy consumption by employing two approaches, namely JNI-OpenCL, and JOCL, which is a popular Java-binding for OpenCL. These approaches can be easily
Abstract Flexible Computing with Virtual Machines
, 2009
"... submitted in conformity with the requirements ..."
Characterizing the Challenges and Evaluating the Ecacy of a CUDA-to-OpenCL Translator
"... The proliferation of heterogeneous computing systems has led to increased interest in parallel architectures and their associated program-ming models. One of the most promising models for heterogeneous computing is the accelerator model, and one of the most cost-e↵ective, high-performance accelerato ..."
Abstract
- Add to MetaCart
-performance accelerators currently available is the general-purpose, graphics processing unit (GPU). Two similar programming environments have been proposed for GPUs: CUDA and OpenCL. While there are more lines of code already written in CUDA, OpenCL is an open standard that supports on a broader range of devices. Hence
Results 1 - 10
of
1,356
