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ISSN: 2772-4859

DPUBench: An application-driven scalable benchmark suite for comprehensive DPU evaluation

With the development of data centers, network bandwidth has rapidly increased, reaching hundreds of Gbps. However, the network I/O processing performance of CPU improvement has not kept pace with this...

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StreamAD: A cloud platform metrics-oriented benchmark for unsupervised online anomaly detection

Cloud platforms, serving as fundamental infrastructure, play a significant role in developing modern applications. In recent years, there has been growing interest among researchers in utilizing machine...

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Enabling hyperscale web services

Modern web services such as social media, online messaging, and web search support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., hyperscale. The key...

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ERMDS: A obfuscation dataset for evaluating robustness of learning-based malware detection system

Learning-based malware detection systems (LB-MDS) play a crucial role in defending computer systems from malicious attacks. Nevertheless, these systems can be vulnerable to various attacks, which can...

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e₹—The digital currency in India: Challenges and prospects

The Reserve Bank of India (RBI) has recently launched the country’s first pilot project for the digital currency known as the digital rupee or e-Rupee (e₹). The launch of the digital rupee represents...

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Bench 2023 Calls For Papers

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ChatGPT for healthcare services: An emerging stage for an innovative perspective

Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this...

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SNNBench: End-to-end AI-oriented spiking neural network benchmarking

Spiking Neural Networks (SNNs) show great potential for solving Artificial Intelligence (AI) applications. At the preliminary stage of SNNs, benchmarks are essential for evaluating and optimizing SNN...

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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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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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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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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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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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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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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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