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CUDA (Compute Unified Device Architecture) is NVIDIA’s parallel computing platform that allows developers to use GPUs for high-performance computing and AI workloads. One of CUDA’s most powerful optimization tools is shared memory—but improper usage, especially bank conflicts, can severely degrade performance. In this video, we break down how CUDA shared memory works and how to optimize it effectively. This Uplatz Explainer video starts with the fundamentals of GPU memory hierarchy. We explain global memory, shared memory, registers, and caches—and where shared memory fits in terms of latency and bandwidth. You’ll understand why shared memory is critical for accelerating parallel CUDA kernels. We then dive into shared memory architecture and bank conflicts. Topics include memory banks, how threads map to banks, what causes bank conflicts, and how conflicts serialize memory access. You’ll gain a clear mental model of why certain access patterns reduce parallel efficiency. The video also explores optimization strategies. We cover padding techniques, alignment considerations, stride modifications, coalesced access patterns, warp-level behavior, and profiling methods to detect bank conflicts. You’ll see how small indexing changes can dramatically improve throughput. Finally, we connect shared memory optimization to real-world GPU workloads—matrix multiplication, reductions, convolution operations, and AI training or inference pipelines. By the end of this video, you’ll have a structured approach to writing efficient CUDA kernels that avoid memory bottlenecks. This video is ideal for GPU programmers, ML engineers, HPC developers, and anyone working on performance-critical parallel workloads. #CUDA #GPUProgramming #SharedMemory #ParallelComputing #HPC #AIInfrastructure #PerformanceOptimization #DeepLearning #NVIDIA #Uplatz ---------------------------------------------- 🌐 Welcome to Uplatz – Your Gateway to Career Transformation! To access full courses or training bundles: 🌐 https://uplatz.com 📧 support@uplatz.com 🎓 About Uplatz Uplatz is a global leader in online IT and professional training, offering comprehensive courses in AI, machine learning, data science, cloud computing, cybersecurity, and enterprise technologies such as SAP, Oracle, Salesforce, and ServiceNow. With expert-led programs and real-world learning paths, Uplatz empowers learners and organizations across 190+ countries to build future-ready skills and thrive in the digital era. 📘 Explore Uplatz Course Portfolio Learn the most in-demand and emerging technologies with Uplatz: ✅ AI & Machine Learning – Agentic AI, LLMs, LangChain, Deep Learning, MLOps, LLMOps ✅ Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD ✅ Data & Analytics – Data Science, Data Engineering, Power BI, Tableau, Big Data (Spark, Kafka) ✅ Programming & Frameworks – Python, FastAPI, Django, Java, JavaScript, SQL ✅ Cybersecurity & Blockchain – Ethical Hacking, Cloud Security, Zero Trust, Blockchain & Web3 ✅ IoT & Embedded Systems – IoT Platforms, Edge Computing, Embedded C, Microcontrollers ✅ ERP & CRM – SAP (all modules), Salesforce, Oracle ERP, Microsoft Dynamics ✅ Web & App Development – Full-Stack Development, React, Angular, Node.js, Flutter 🎓 Master cutting-edge skills. Build your tech career with Uplatz. 🌐 Learn more: https://uplatz.com 🎯 Why Choose Uplatz ✔️ Job-focused, project-based learning ✔️ Globally recognized certifications ✔️ Lifetime access & affordable pricing ✔️ Career guidance and mentorship 🔔 Subscribe for weekly tech tutorials, demos, and success stories. 📲 Follow us on LinkedIn, Instagram, Twitter, and Facebook. #Uplatz #Tech #Technology #MachineLearning #CloudComputing #Learning