The Semiconductor Shift Toward Processor-In-Memory And Processing-Near-Memory
Nano Banana Reliance Of AI And Data Workloads On Computer Architecture AI and modern data workloads have transformed how we think about computing systems. Traditional processors were designed for sequential tasks and moderate data movement. Today’s AI models work with enormous datasets and large numbers of parameters that must move constantly between memory and compute units. This movement introduces delays and consumes significant energy. As a result, memory bandwidth and the distance to the data have become major performance bottlenecks. Graphics processors, tensor accelerators, and custom architectures try to address these issues by increasing parallelism. Yet, parallel computing alone cannot solve the challenge if data cannot reach the compute units fast enough. The cost of moving data inside a system is now often higher than the cost […]
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