吞食
发表于 2025-3-21 19:43:09
书目名称Efficient Execution of Irregular Dataflow Graphs影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0302977<br><br> <br><br>书目名称Efficient Execution of Irregular Dataflow Graphs读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0302977<br><br> <br><br>
Slit-Lamp
发表于 2025-3-21 21:19:10
Suitable Data Representation: A Study of Fixed-Point, Floating-Point, and PositTM Formats for Probanvestigates whether probabilistic AI models and sparse linear algebra workloads lend themselves to this optimization. To systematically answer this, analytical error and energy models are developed by exploiting the properties of the workloads. A framework called . is designed that uses these models
Pde5-Inhibitors
发表于 2025-3-22 02:44:23
: Constrained-Optimization- Based Parallelization of Irregular Workloads for Multicore Processors,CPUs is challenging due to the irregularity of the underlying computational dataflow graphs. For efficient execution of these graphs, high workload balance and minimal communication and synchronization overheads need to be achieved, in the presence of dataflow graph’s irregularity..To this end, this
揭穿真相
发表于 2025-3-22 07:06:41
DAG Processing Unit Version 1 (DPU): Efficient Execution of Irregular Workloads on a Multicore ProcCPUs and GPUs despite highly optimized software parallelization, resulting in severe underutilization of the hardware. This chapter discusses the first version of DAG processing unit (DPU), a specialized processor that addresses the limitations of existing hardware, enabling efficient execution of i
提炼
发表于 2025-3-22 11:51:49
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指耕作
发表于 2025-3-22 13:20:07
g set of AI workloads that rely on sparse matrix operations .This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for
指耕作
发表于 2025-3-22 17:59:10
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Terrace
发表于 2025-3-22 21:14:29
https://doi.org/10.1007/978-3-662-00283-4optimal architecture configuration that minimizes the energy-delay product. This hardware-software co-optimization approach results in a speedup of 1.4×, 3.5×, and 14× over the first version of DPU, a CPU, and a GPU, respectively, while also achieving a lower energy-delay product.
PET-scan
发表于 2025-3-23 05:08:41
DAG Processing Unit Version 2 (DPU-v2): Efficient Execution of Irregular Workloads on a Spatial Datoptimal architecture configuration that minimizes the energy-delay product. This hardware-software co-optimization approach results in a speedup of 1.4×, 3.5×, and 14× over the first version of DPU, a CPU, and a GPU, respectively, while also achieving a lower energy-delay product.
BLAZE
发表于 2025-3-23 07:18:38
,Besuch im künstlichen Paradies,mization solvers, . combines the solver with several heuristics that can handle dataflow graphs with millions of nodes without sacrificing the quality of parallelization. Experiments on a multicore CPU show a speedup of 2.0× over existing libraries.