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015-Shreyas-Derashri.pdf

上传人: 山哈 编号:725296 2025-07-04 18页 1.40MB

1、Revolutionizing RISC-V adoption Integrated Solution GPU+CPU+AINew Compute platforms Proven benefit from system approach Apple SiliconEfficient use of Memory Scaling challenge Optimisation at a system level Bandwidth and system data congestionSystem level design drives ecosystem Faster adoption of RI

2、SC-V87%New Compute platforms Proven benefit from system approach Apple SiliconM1 ChipArea(2 mm)PercentageTotal Die118100%Total CPU2118%Total GPU 23.520%Total AI6.66%SLC65%49%Compute Subsystem accounts for Half of the SoC areaGraphics is critical to compute platform In 2022,Semiconductors containing

3、GPUs contributed$96B to the overall Semiconductor market.This is 44%of the$216B market excluding memory,optoelectronics,Analog,connectivity,RF,discrete components,power management and sensors Source:GartnerGPU in 44%of Semiconductor TAMRISC-V will not disrupt the Android market without a capable and

4、 credible GPUGPU is the platform for AIGPU is the right architecture for AIGPU is critical to AI CPU does not meet the level of compute density needed GPU programming model is established and deals well with varied parallel tasks(e.g.NVIDIA with CUDA,UXL and SYCL)Algorithms move too quickly for dedi

5、cated hardware alone need some flexibility with a direct programming model Array-like approaches do not deliver a direct programming model and struggle with multiple workloadsYour one-stop solution for embedded ComputeGPU,CPU and AI#1Position in GPU for Automotive and Mobile13 BillionCumulative chip

6、 shipments with Imagination IPs84%Employees involved in R&D and engineering3300Patents and applications300mDCD GPUs shipped p.a.$94.5bnAutomotive(2025E)$96.8bnConsumer(2025E)$62bnMobile(2025E)4 Key markets33%2019-21 Revenue CAGR$153mn2021 RevenueGeographyCustomerProductSegmentMarket LeadershipAdvanc

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本文主要介绍了集成GPU、CPU和AI计算的RISC-V解决方案,强调了图形处理在计算平台中的重要性。以下是关键点: 1. 系统级优化:苹果硅证明了系统方法的好处,M1芯片各部分占比为例,CPU占18%,GPU占20%,AI占6%。 2. GPU市场地位:含有GPU的半导体市场占整个市场的44%,2019-2021年复合年营收增长33%。 3. GPU对AI的重要性:GPU是适合AI的架构,因其处理密度和编程模型优势。 4. R&D投入:研发和工程人员占员工总数的84%,拥有超过3000项专利和应用。 5. 产品和市场:提供从入门到旗舰的GPU产品,覆盖汽车、消费和移动关键市场,2025年预计市场规模分别为$94.5bn、$96.8bn和$62bn。 6. 集成解决方案:Imagination提供集成的CPU、GPU和AI计算解决方案,以及软件、工具和支持,提高了总线利用率和降低内存流量。 综上,文章强调了GPU在计算平台中的核心地位,以及RISC-V在消费和工业应用中的显著增长潜力。
"RISC-V能否引领AI计算革新?" "GPU在智能计算中扮演何种角色?" "如何高效集成CPU、GPU与AI?"
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