
Explore hardware-assisted secure memory disaggregation, combining trusted VMs with a dedicated engine for efficient isolation and protection of remote memory pages, ensuring confidentiality and integrity.

Explore electric current, circuits, resistance, and power concepts. Master loop and junction rules, resistor configurations, and capacitor applications in electrical systems.

Explore the carry select adder, a fast addition technique, and understand its principles and implementation in digital circuit design.

Explore Verilog's fundamentals, including structural and dataflow modeling, for efficient hardware description and design.

Explore hardware-algorithm co-design for efficient vector search on FPGAs, enhancing performance in large-scale information retrieval and machine learning systems.

Explore cross-architecture dynamic migration for AI applications on diverse accelerators. Learn unified abstraction, middle-compiler techniques, and runtime support for seamless transitions between hardware.

解决AI应用在不同加速硬件间平滑迁移的挑战。介绍统一抽象、跨架构编译和动态链接运行时等技术,实现无需改变开发习惯的跨系统应用迁移。

Explore UXL Foundation's initiative for unified software development across diverse accelerator architectures, emphasizing collaboration and open standards in AI/ML computing.

Explore Vector API in Java and TornadoVM for GPU/FPGA computing. Enhance processing power and performance through advanced JVM techniques and native-code tooling.

Discover key insights and practical lessons from converting AMD Xilinx FPGA NIC PMD to BBDEV PMD, exploring technical challenges and implementation strategies for efficient hardware adaptation.

Dive into high-performance networking with RDMA interfaces and Linux TCP stack optimization, exploring zero-copy techniques and kernel bypass for achieving 800Gbps throughput.

Discover how Large Language Models are revolutionizing integrated circuit design automation, enhancing efficiency and innovation in semiconductor development.

Explore how machine learning revolutionizes electronic design automation, enhancing semiconductor development and improving design efficiency through AI-driven solutions.

Learn to design and customize electronic conference badges using OpenTaxus - from hardware modifications in KiCAD to software changes in CircuitPython, plus cost management and production logistics.

Discover the complete badge-making journey, from creative concept to mass production, including circuit design, firmware development, and practical manufacturing insights.

Explore DNA storage simulation through DNAssim, covering encoding/decoding strategies, error handling, and hardware acceleration for synthetic DNA data storage systems.

Explore SYCL for cross-platform accelerator programming in C++20. Learn integration techniques, key features, and real-world applications in high-energy physics.

Explore advanced search techniques using domain-specific computing to achieve faster latencies and higher scalability at billion-scale, overcoming limitations of general-purpose CPUs.

Explore faebryk, an open-source Python library for electronic design automation. Learn to describe circuits in code, refining designs from abstract to specific while leveraging software development tools.

Explore advanced techniques for programming AI accelerators in scientific computing, focusing on optimization and performance enhancement.

Optimize Python for high performance on CPUs, GPUs, and FPGAs. Learn HPC-oriented extensions, automatic optimizations, and portable performance techniques across architectures.