连结 发表于 2025-3-21 18:14:56
书目名称Benchmarking, Measuring, and Optimizing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0183390<br><br> <br><br>书目名称Benchmarking, Measuring, and Optimizing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0183390<br><br> <br><br>Postulate 发表于 2025-3-21 22:23:37
,Generating High Dimensional Test Data for Topological Data Analysis,old. While based in the field of topology, TDA is primarily vested in the three computational elements: ., ., and .. The focus of this paper is on developing infrastructure to generate synthetic test data suitable to evaluate computational elements of TDA. The objective of this work is to generate tFUME 发表于 2025-3-22 00:45:03
,Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine ethods. Traditional AI benchmarking methods struggle to adapt to the unique challenges posed by AI4S because they assume data in training, testing, and future real-world queries are independent and identically distributed, while AI4S workloads anticipate out-of-distribution problem instances. This p音乐等 发表于 2025-3-22 08:25:20
http://reply.papertrans.cn/19/1834/183390/183390_4.pngInterregnum 发表于 2025-3-22 11:29:16
,Cross-Layer Profiling of IoTBench,tailored for IoT applications. The streamlined yet comprehensive system stack of an IoT system is highly suitable for synergistic software and hardware co-design. This stack comprises various layers, including programming languages, frameworks, runtime environments, instruction set architectures (IS阻止 发表于 2025-3-22 15:24:58
,MMDBench: A Benchmark for Hybrid Query in Multimodal Database, a gap in benchmarking specifically designed for multimodal data, as existing benchmarks primarily focus on traditional and multimodel databases, lacking a comprehensive framework for evaluating systems handling multimodal data. In this paper, we present a novel benchmark program, named MMDBench, sp牛马之尿 发表于 2025-3-22 21:01:40
http://reply.papertrans.cn/19/1834/183390/183390_7.pngmalign 发表于 2025-3-22 22:53:24
,A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads,are unable to finish running on simulators at an acceptable time cost, as simulators are slower 100X–1000X times than physical platform. Moreover, big data benchmarks usually need the support of complex software stacks, which is hard to be ported on the simulators. Proxy benchmarks have the same mic妈妈不开心 发表于 2025-3-23 01:25:51
http://reply.papertrans.cn/19/1834/183390/183390_9.png细胞膜 发表于 2025-3-23 09:16:20
,Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis, the restrictions of privacy and confidentiality, real HPC workloads are rarely open for studying. Generating synthetic workloads that mimic real workloads can facilitate related research, such as cluster planning and scheduling. Thus automated HPC workload generation has long been an active researc