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ISSN: 2772-4859

Enabling Reduced Simpoint Size Through LiveCache and Detail Warmup

Simpoint technology (Sherwood et al., 2002) has been widely used by modern micro-architecture research community to significantly speedup the simulation time. However, the typical Simpoint size remains...

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HPC AI500 V3.0: A scalable HPC AI benchmarking framework

In recent years, the convergence of High Performance Computing (HPC) and artificial intelligence (AI) makes the community desperately need a benchmark to guide the design of next-generation scalable...

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CpsMark+: A scenario-oriented benchmark system for office desktop performance evaluation in centralized procurement via simulating user experience

Rapid business expansion of various companies has placed growing demand on office desktops recent decades. However, improper evaluation of system performance and inexplicit awareness of practical use...

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An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges

The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore, both are anticipated to...

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Edge AIBench 2.0: A scalable autonomous vehicle benchmark for IoT–Edge–Cloud systems

Many emerging IoT–Edge–Cloud computing systems are not yet implemented or are too confidential to share the code or even tricky to replicate its execution environment, and hence their benchmarking is...

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Optimizing the sparse approximate inverse preconditioning algorithm on GPU

In this study, we present an optimization sparse approximate inverse (SPAI) preconditioning algorithm on GPU, called GSPAI-Opt. In GSPAI-Opt, it fuses the advantages of two popular SPAI preconditioning...

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An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges

Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022. Generative Pre-trained Transformer (GPT) architecture is the foundation of ChatGPT. On the...

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Performance characterization and optimization of pruning patterns for sparse DNN inference

Deep neural networks are suffering from over parameterized high storage and high consumption problems. Pruning can effectively reduce storage and computation costs of deep neural networks by eliminating...

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IoTBench: A data centrical and configurable IoT benchmark suite

As the Internet of Things (IoT) industry expands, the demand for microprocessors and microcontrollers used in IoT systems has increased steadily. Benchmarks provide a valuable reference for processor...

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Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning

Combating the COVID-19 pandemic has emerged as one of the most promising issues in global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right medical treatment to control...

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2022 BenchCouncil International Symposium on benchmarking, measuring and optimizing (Bench 2022) call for papers

Sponsored and organized by the International Open Benchmark Council (BenchCouncil), the Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods, and tools....

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A review of Blockchain Technology applications for financial services

Financial service providers find blockchain technology useful to enhance authenticity, security, and risk management. Several institutions are adopting blockchain in trade and finance systems to build...

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Understanding hot interconnects with an extensive benchmark survey

Understanding the designs and performance characterizations of hot interconnects on modern data center and high-performance computing (HPC) clusters is a fruitful research topic in recent years. The...

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High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer

Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehouse-scale computers...

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SAIBench: Benchmarking AI for Science

Scientific research communities are embracing AI-based solutions to target tractable scientific tasks and improve research work flows. However, the development and evaluation of such solutions are scattered...

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Performance and energy consumption tradeoff in server consolidation

Server consolidation is one of the techniques used to increase energy efficiency in datacentres. Nevertheless, the server consolidation has an inherent trade-off between performance degradation and...

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