A stall-aware warp scheduling for dynamically optimizing thread-level parallelism in GPGPUs
General-Purpose Graphic Processing Units (GPGPU) have been widely used in high
performance computing as application accelerators due to their massive parallelism and …
performance computing as application accelerators due to their massive parallelism and …
Streaming architectures and technology trends
J Owens - ACM SIGGRAPH 2005 Courses, 2005 - dl.acm.org
Modern technology allows the designers of today's processors to incorporate enormous
computation resources into their latest chips. The challenge for these architects is to …
computation resources into their latest chips. The challenge for these architects is to …
[PDF][PDF] Compiler techniques for scalable performance of stream programs on multicore architectures
MI Gordon - 2010 - Citeseer
Given the ubiquity of multicore processors, there is an acute need to enable the
development of scalable parallel applications without unduly burdening programmers …
development of scalable parallel applications without unduly burdening programmers …
[图书][B] Performance analysis and tuning for general purpose graphics processing units (GPGPU)
General-purpose graphics processing units (GPGPU) have emerged as an important class
of shared memory parallel processing architectures, with widespread deployment in every …
of shared memory parallel processing architectures, with widespread deployment in every …
Juggler: a dependence-aware task-based execution framework for GPUs
Scientific applications with single instruction, multiple data (SIMD) computations show
considerable performance improvements when run on today's graphics processing units …
considerable performance improvements when run on today's graphics processing units …
Efficient handling of stream buffers in GPU stream-based computing platform
S Yamagiwa, M Arai, K Wada - Proceedings of 2011 IEEE …, 2011 - ieeexplore.ieee.org
GPU-based computing has become one of the popular high performance computing fields.
The field is called GPGPU. This paper presents design and implementation of a uniform …
The field is called GPGPU. This paper presents design and implementation of a uniform …
Improving the efficiency of GPGPU work-queue through data awareness
L Huang, Y Lü, L Shen, Z Wang - ACM Transactions on Architecture and …, 2017 - dl.acm.org
The architecture and programming model of current GPGPUs are best suited for applications
that are dominated by structured control and data flows across large regular datasets …
that are dominated by structured control and data flows across large regular datasets …
GPU-accelerated high-throughput online stream data processing
The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs)
makes them perfect for parallel processing of big data. In this paper, we present the design …
makes them perfect for parallel processing of big data. In this paper, we present the design …
Many-thread aware instruction-level parallelism: Architecting shader cores for GPU computing
The design philosophy of many-core architectures such as graphics processing units
(GPUs) is to exploit thread-level parallelism (TLP) to achieve high throughput. Compared to …
(GPUs) is to exploit thread-level parallelism (TLP) to achieve high throughput. Compared to …
[引用][C] Computing speeds soar with parallel processing
H Falk - Computer Design, 1988 - dl.acm.org
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