Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 21st International C Alex Orailoglu,Matthias Jung,Marc Reichenbach Conf

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书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation被引频次




书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation被引频次学科排名




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书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation读者反馈学科排名

MAZE

RVfplib: A Fast and Compact Open-Source Floating-Point Emulation Library for Tiny RISC-V Processorsle. Thus, the performance and code size of the FP emulation library are decisive for meeting energy and memory-size constraints. We propose RVfplib, the first ISA-optimized open-source library for single and double-precision IEEE 754 FP emulation on RV32IM[C] cores. RVfplib is 59% smaller and 2. fas

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Exploiting Similarity in Evolutionary Product Design for Improved Design Space Explorationiously developed systems, while others have to be designed from scratch. In consideration of subsequent design steps, i.e., verification, testing, and production, PGE may significantly reduce the time-to-market as these steps can be skipped for reused parts. Thus, deciding which components have to b

财政

Automatic Search-Space Compression in System-Level Design Space Exploration Using Deep Generative Moorked systems and (b) the preponderance of infeasible solutions in the search space from which no actual implementations can be derived. Since current DSE approaches are not equipped to handle these developments, we propose the integration of deep generative models into DSE to automatically compress

预感

A Case for Partial Co-allocation Constraints in Compressed Cachessed blocks must fit in predetermined sizes; thus, it reduces co-allocation opportunities but has easier management—or unconstrained—in which case compressed blocks can compress to any size; thus, it increases co-allocation opportunities, at the cost of more metadata and latency overheads. This paper

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PoCL-R: A Scalable Low Latency Distributed OpenCL Runtimees increasingly realistic with new networking technologies. In order to make such a computing scheme feasible, an application programming layer that can provide both low latency and scalable utilization of remote heterogeneous computing resources is needed. To this end, we propose a latency-optimize

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Atrium

FAR

Energy-Efficient and High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs CPUs-GPUs MPSoCs. CNN model inference is usually computation intensive while the embedded CPUs-GPUs MPSoCs are usually energy consumption constrained. Therefore, how to achieve computationally-intensive CNN inference in an energy-efficient and high-throughput way is an important issue. However, exi

nepotism

Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs to quickly predict the temperature of different configurations without the need of hardware. Specifically, we focus on modeling approaches that can predict the temperature based on the clock frequency and the utilization percentage of each core. We investigate three methods with respect to their pr