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Related lectures (30)
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Graph Processing: Oracle Labs Insights
Explores the ubiquity of graphs in modern data and analytics, focusing on the shift in organizations' perception of graph technologies.
Fixed Points in Graph Theory
Focuses on fixed points in graph theory and their implications in algorithms and analysis.
GPU Advanced: Memory Management and Optimization
Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.
Improving Repair Process Efficiency
Focuses on improving repair process efficiency for BE engines through observation and interviews.
Efficient GPU Join Optimization
Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.
Memory Hierarchy: Programming Consequences
Explores memory hierarchies and their impact on programming performance through loop optimization.
Emerging Memory I
Explores the landscape of big data, memory importance in online services, challenges faced by memory systems, emerging DRAM technologies, and storage-class memory.
Memory Hierarchy and Cache Performance
Explores virtual memory, page tables, TLB, and cache memory in computer systems.
Concurrent Programming: Theory to Practice
Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.
Business-IT Alignment: Frameworks and Solutions
Explores key frameworks and solutions for business/IT alignment, emphasizing the importance of minimizing unintended consequences of change.