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Models & ResearchAI AgentsAI DevelopmentInfrastructure & HardwareImage, Video & AudioRobotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society
Robotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society

8 NovInfrastructure & Hardwarehgpu.org

Capability Gain from ISA to Shared Execution on AMD MI300A and MI250X

AIAI-generated summary A new analysis measures how much instruction-level speedup survives across layers like libraries and shared devices on AMD hardware including the MI300A and MI250X. The research traces metrics from ISA microbenchmarks through hipBLASLt and hipSPARSELt to large language model inference and mixed-precision HPL.

Read at hgpu.org

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