Wilga 2024 Summer Symposium on Photonics Applications and Web Engineering was the 52 th edition of the research and technical meetings series. Traditionally, the annual series of technical conferences and topical sessions lasted the whole week. They usually were split to one winter meeting in January and one or two summer events in May/June, and in September. The Covid epidemic and the war in Ukraine has changed a lot. The hybrid meetings were held in Wilga resort near Warsaw, owned by the Warsaw University of Technology. Now the meetings since 2022 were shifted to Lublin. Nearly 100 participants took part in all of the Wilga 2022 events, most of them being young researchers active in all aspects of photonics, electronics and ICT science and technology. Over 60 participants took part in Wilga 2024 meetings. Wilga Symposium embraces hardware and software technologies associated with photonics like optics, optical engineering, optoelectronics, electronics and electrical engineering, mechatronics, chemical and material engineering, applied physics, industrial solutions and applications. Around 50 papers were presented during Wilga 2024, oral and poster. Out of this number, some papers chosen by authors are published in this volume of Proc. SPIE mostly related to photonics. The major change was that during Wilga 2020, 2021, 2022 and 2024 Symposia, during summer editions, no traditional large young researcher sessions at large were possible to be organized. We hope that this will change and Wilga 2025 will return to a good tradition to organize concurrent social research sessions full of young researchers like was during Wilga 2019 and earlier.
Matrix multiplication is a fundamental operation in various scientific and engineering applications, often demanding high computational resources. With the growing complexity of data-intensive tasks, optimizing this operation to run efficiently on hardware accelerators like FPGAs has become crucial. However, the challenge lies in balancing the resource constraints while maximizing performance. In this project, we address this problem by developing High-Level Synthesis (HLS) software tailored for efficient matrix multiplication on FPGAs. Our solution focuses on resource optimization, adhering strictly to predefined constraints to ensure optimal performance. By leveraging the parallel processing capabilities of FPGAs, our implementation significantly reduces computation time compared to traditional methods. We present the design and implementation of our HLS-based matrix multiplication solution, highlighting key strategies for resource management and optimization. The results demonstrate a substantial improvement in performance, showcasing the effectiveness of our approach in real-world applications. This article summarizes our methodology, experimental setup, and the performance gains achieved through our optimized solution. This article presents the results of matrix multiplication on FPGA systems with Resource Optimization and Constraints.
The use of photoplethysmography allows an accurate assessment of the level of blood supply in inflammatory symptoms in patients with diabetes after tooth extraction, this method has the positive properties of non-invasiveness, high sensitivity and probabilistic ease of examination. Photon radiation has been shown to increase blood vessel wall elasticity, erythrocyte elasticity, blood oxygen transport function, cell membrane activity, accelerate tissue regeneration, reduce lipid oxidation, and normalize blood rheology. The photon radiation of the "MultiSpectr-001" multispectral physiotherapy device has been shown to lead to anti-inflammatory, desensitizing, analgesic, antispasmodic, anti-edema effects, which was confirmed in this study in the treatment of diabetic patients.
KEYWORDS: Matrix multiplication, Field programmable gate arrays, Digital signal processing, Optimization (mathematics), Logic, Digital electronics, Data processing, Clocks, Very large scale integration, Transistors
Modern VLSI (Very-Large-Scale Integration) integrated circuits contain several billion transistors. Systems of this complexity are very difficult to design. Manually designing each transistor at the level of logic gates is beyond the skill of the expert team. Manual verification of the chip design is also beyond the capabilities of even engineering teams. With the increasing complexity of electronic systems, there has been a need to automate both the design and verification stages at more abstract levels. This paper describes concept of multi-level compiler which convert algorithm described in Python language to FPGA bitstream. Compiler transforms automatically high-level description (Python) to low level (bitstream) on different levels based on configuration files. Testing is also done automatically on several levels of abstraction. Process automation enable to reduce designing and testing time. The article propose VHDL Microinstruction compiler, test tools with examples of its use.
KEYWORDS: Digital signal processing, Signal processing, Fiber optics, Telecommunications, Statistical analysis, Signal attenuation, Analog electronics, Analytical research, Phase shift keying, Fourier transforms
The high-performance methods of multi-stage digital processing of linear signals of fiber optic transmission systems in the spectral and time domain with the use of Fourier transform methods are proposed. Based on the proposed methods of signal processing, a digital device for restoring of linear signals in fiber-optic transmission systems is developed. The advantage of the device is high performance, which enables digital processing of linear signals in the spectral region without loss of information.
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