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Lecture
GPUs: Multithreading and Architecture
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Related lectures (32)
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Prediction and Speculation in Processor Design
Covers prediction and speculation techniques in processor design to enhance performance and reduce execution delays.
Multiprocessors: Overview and Challenges
Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.
GPU Advanced: Memory Management and Optimization
Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.
Multi Masters Systems
Explores Multi Masters Systems, discussing architectures with multiple processors, shared memory, mutual exclusion, and hardware accelerators.
Memory Cache Principles
Explores memory cache principles, emphasizing spatial locality, latency impact, and cache efficiency strategies.
Threads: Concurrency and Parallelism in Computer Systems
Covers the thread abstraction in computer systems, focusing on concurrency, parallelism, and the management of threads using the POSIX API.
Multi-Cycle MIPS Processor
Explores the design and performance analysis of a Multi-Cycle MIPS Processor compared to a Single-Cycle Processor, emphasizing benefits and downsides.
Designing Datapath and Control Logic for ISA Instructions
Explores the design of datapath and control logic for executing ISA instructions, focusing on hardwired control and performance analysis.
Fast Interconnects: Scalable Co-processing with GPUs
Explores the use of fast interconnects for scalable co-processing with GPUs in databases, emphasizing the importance of overcoming the transfer bottleneck and reevaluating assumptions for performance improvements.
Introduction to Multiprocessor Architecture
Covers multiprocessor architecture, sustainable computing, AI model training impact, and parallel programming fundamentals.