Search Results - General and reference Cross-computing tools and techniques~

MLPerf Inference Benchmark by Reddi, Vijay Janapa, Cheng, Christine, Kanter, David, Mattson, Peter, Schmuelling, Guenther, Wu, Carole-Jean, Anderson, Brian, Breughe, Maximilien, Charlebois, Mark, Chou, William, Chukka, Ramesh, Coleman, Cody, Davis, Sam, Deng, Pan, Diamos, Greg, Duke, Jared, Fick, Dave, Gardner, J. Scott, Hubara, Itay, Idgunji, Sachin, Jablin, Thomas B., Jiao, Jeff, John, Tom St, Kanwar, Pankaj, Lee, David, Liao, Jeffery, Lokhmotov, Anton, Massa, Francisco, Meng, Peng, Micikevicius, Paulius, Osborne, Colin, Pekhimenko, Gennady, Rajan, Arun Tejusve Raghunath, Sequeira, Dilip, Sirasao, Ashish, Sun, Fei, Tang, Hanlin, Thomson, Michael, Wei, Frank, Wu, Ephrem, Xu, Lingjie, Yamada, Koichi, Yu, Bing, Yuan, George, Zhong, Aaron, Zhang, Peizhao, Zhou, Yuchen

“…Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded…”
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OptiWISE: Combining Sampling and Instrumentation for Granular CPI Analysis by Guo, Yuxin, Chadwick, Alex W., Erdos, Marton, Bora, Utpal, Vougioukas, Ilias, Gabrielli, Giacomo, Jones, Timothy M.

“… Existing profiling tools typically either sample hardware performance counters or instrument the program with extra instructions to analyze its execution…”
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GPA: A GPU Performance Advisor Based on Instruction Sampling by Zhou, Keren, Meng, Xiaozhu, Sai, Ryuichi, Mellor-Crummey, John

“… Existing performance tools only provide coarse-grained tuning advice at the kernel level…”
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Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations by Mars, Jason, Lingjia Tang, Hundt, Robert, Skadron, Kevin, Soffa, Mary Lou

“…As much of the world's computing continues to move into the cloud, the overprovisioning of computing resources to ensure the performance isolation of…”
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Revamping Sampling-Based PGO with Context-Sensitivity and Pseudo-instrumentation by He, Wenlei, Yu, Hongtao, Wang, Lei, Oh, Taewook

“… Profile-guided optimization (PGO) is a promising technique to improve application performance…”
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Performance Analysis with Bayesian Inference by Couderc, Noric, Reichenbach, Christoph, Soderberg, Emma

“… However, for non-statisticians, picking the right statistical tool to answer a research question can be challenging…”
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White-Box Performance-Influence Models: A Profiling and Learning Approach (Replication Package) by Weber, Max, Apel, Sven, Siegmund, Norbert

“… Specifically, we describe the general steps and tools that we have used to implement our approach, the data we have obtained, and the evaluation setup…”
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Performance Characterization of Popular DNN Models on Out-of-Order CPUs by Prieto, Pablo, Abad, Pablo, Gregorio, Jose Angel, Puente, Valentin

“… However, the ubiquity of DNN models is rapidly extending the presence of this software to general-purpose CPUs…”
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SLEMI: Equivalence Modulo Input (EMI) Based Mutation of CPS Models for Finding Compiler Bugs in Simulink by Chowdhury, Shafiul Azam, Shrestha, Sohil Lal, Johnson, Taylor T., Csallner, Christoph

“… To provide EMI-based mutation for differential testing of cyber-physical system (CPS) development tools, this paper develops several novel mutation techniques…”
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What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? by Gao, Shuzheng, Wen, Xin-Cheng, Gao, Cuiyun, Wang, Wenxuan, Zhang, Hongyu, Lyu, Michael R.

“…Pre-trained models of source code have gained widespread popularity in many code intelligence tasks. Recently, with the scaling of the model and corpus size,…”
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InvisiSpec: making speculative execution invisible in the cache hierarchy by Yan, Mengjia, Choi, Jiho, Skarlatos, Dimitrios, Morrison, Adam, Fletcher, Christopher W., Torrellas, Josep

“…Hardware speculation offers a major surface for micro-architectural covert and side channel attacks. Unfortunately, defending against speculative execution…”
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Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques by Khan, Zanis Ali, Shin, Donghwan, Bianculli, Domenico, Briand, Lionel

“… While many techniques have been proposed in the literature, only two recent studies provide a comprehensive evaluation and comparison of the techniques using an established benchmark composed of real-world logs…”
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Exploiting Input Sanitization for Regex Denial of Service by Barlas, Efe, Du, Xin, Davis, James C.

“…Web services use server-side input sanitization to guard against harmful input. Some web services publish their sanitization logic to make their client…”
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White-Box Performance-Influence Models: A Profiling and Learning Approach by Weber, Max, Apel, Sven, Siegmund, Norbert

“…Many modern software systems are highly configurable, allowing the user to tune them for performance and more. Current performance modeling approaches aim at…”
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Analyzing and Improving Resilience and Robustness of Autonomous Systems (Invited Paper) by Wan, Zishen, Swaminathan, Karthik, Chen, Pin-Yu, Chandramoorthy, Nandhini, Raychowdhury, Arijit

“… Application-aware resilience metrics, holistic fault analysis frameworks, and lightweight fault mitigation techniques are being proposed for accurate and effective resilience and robustness assessment and improvement…”
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MemSeer: Leverage Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters by Gu, Yunfei, Liu, Yixuan, Wu, Xinyuan, Shao, Bo, Wu, Chentao, Li, Shiyi, Zhao, Jieru, Li, Jie, Guo, Minyi, Yang, Kunlin, Zhang, Wengui, Lin, Feilong

“… We introduce MemSeer, an AIOps-integrated tool that utilizes a multi-grained memory failure prediction approach for x86/ARM heterogeneous clusters…”
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The Architecture value engine: Measuring and delivering sustainable SoC improvement by Carballo, Juan-Antonio, Bangqi Xu

“…The value of semiconductor-based systems continues to increase rapidly especially when considering the cost associated with building it. As such, Moore's Law…”
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An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair by Huang, Kai, Meng, Xiangxin, Zhang, Jian, Liu, Yang, Wang, Wenjie, Li, Shuhao, Zhang, Yuqing

“…The advent of large language models (LLMs) has opened up new opportunities for automated program repair (APR). In particular, some recent studies have explored…”
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Scaler: Efficient and Effective Cross Flow Analysis by Tang, Jiaxun, Xiang, Mingcan, Wang, Yang, Wu, Bo, Chen, Jianjun, Liu, Tongping

“…) of a complex system can interact with each other. However, few existing tools focus on understanding such interactions…”
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PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints by Guo, Yuanchun, Liu, Bingyan, Sha, Yulong, Xian, Zhensheng

“…Federating heterogeneous models on edge devices with diverse resource constraints has been a notable trend in recent years. Compared to traditional federated…”
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