胃口
发表于 2025-3-21 19:35:34
书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0307883<br><br> <br><br>书目名称Embedded Computer Systems: Architectures, Modeling, and Simulation读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0307883<br><br> <br><br>
MAZE
发表于 2025-3-21 21:21:44
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 cores. RVfplib is 59% smaller and 2. fas
威胁你
发表于 2025-3-22 04:13:23
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
发表于 2025-3-22 07:40:31
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
发表于 2025-3-22 10:38:18
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
辫子带来帮助
发表于 2025-3-22 14:37:28
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
辫子带来帮助
发表于 2025-3-22 20:17:06
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Atrium
发表于 2025-3-23 00:22:55
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FAR
发表于 2025-3-23 02:23:59
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
发表于 2025-3-23 08:57:44
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