<p><em>Vision Q8 和 Vision P1 DSP 扩展了对汽车、移动和消费电子市场的支持</em></p>
<p><span><span>楷登电子(美国 Cadence 公司,NASDAQ:CDNS)今日宣布,现已扩展其广受欢迎的 Tensilica</span></span><span><span>®</span></span><span><span><span> </span>Vision DSP 产品系列,面向嵌入式视觉和 AI 应用推出两款全新的 DSP IP 处理器。与前一代产品 Tensilica Vision Q7 DSP 相比,旗舰 Cadence</span></span><span><span>®</span></span><span><span><span> </span>Tensilica Vision Q8 DSP 具备业界领先的每秒 3.8 万亿次操作算力(TOPS),可为汽车和移动市场中的高端视觉应用和成像应用提供双倍的性能、内存带宽和能量效率。而 Tensilica Vision P1 DSP 则是针对消费市场中的始终在线(Always-on)应用和智能传感器应用进行了优化,提供了一种非常节能的解决方案。</span></span></p>
<p><span><span>客户对 Vision Q8 和 Vision P1 DSP 产生了浓厚的兴趣,目前正在进行多项评估。新推出的 DSP 产品完善了 Cadence 成熟的视觉和 AI DSP 产品组合,通过一流的技术为客户提供更高的设计灵活性。有关更多信息,请访问<span> </span></span></span><a href="http://www.cadence.com/go/VisionQ8P1"><span><span>www.cadence.com/go/Vi…;。</span></span></p>
<p><span>Vision Q8 和 Vision P1 DSP 基于现有 Tensilica Vision DSP 中类似的 SIMD 和 VLIW 架构,其特点在于具有 N 路编程模型。该模型</span><span>保留了软件兼容性,</span><span>可轻松从具有不同 SIMD 宽度的上一代 Tensilica Vision DSP 中进行软件移植</span><span>。与 Tensilica Vision DSP 系列的其他产品一样,Vision Q8 和 Vision P1 DSP 也支持 Tensilica 指令扩展 (TIE) 语言,因此客户可以定制指令集。两款 DSP 还支持面向神经网络的 Xtensa</span><span>®</span><span><span> </span>Neural Network Compiler (XNNC) 和 Android Neural Networks API (NNAPI)。此外,新产品还支持面向计算机视觉和成像应用的 1700 多个基于 OpenCV 的视觉库功能、OpenCL 和 Halide 编译器。</span><span>两款产品均已通过</span><span><span> </span>ASIL<span> </span></span><span>认证,硬件随机故障认证为</span><span><span> </span>ASIL-B</span><span>,系统性故障认证为</span><span><span> </span>ASIL-D<span> </span></span><span>,非常适合用于汽车行业。</span></p>
<p><span>第七代 Tensilica Vision Q8 DSP 还具备以下特性和功能:</span></p>
<ul>
<li><span>针对高端移动应用和多摄像头汽车应用进行了优化</span></li>
<li><span>与前代Vision Q7 DSP 相比,具有 3.8TOPS 的算力及1024 位 SIMD位宽,这些特性带来了双倍的视觉、AI 和浮点性能,且具有双倍的内存带宽</span></li>
<li><span>单核简化了系统设计,将功耗降低高达 20%</span></li>
<li><span>用于 AI 处理的非卷积层的性能提升 4 倍</span></li>
<li><span>扩展的指令集为 OpenCL 和 Halide 提供高级语言支持,简化的编程模型缩短了编程时间,一次编写的代码可应用于不同 SIMD位宽。</span></li>
</ul>
<p><span>Tensilica Vision P1 DSP 的特性和功能包括:</span></p>
<ul>
<li><span>针对始终在线应用进行了优化,其中包括智能传感器、AR/VR 眼镜和物联网/智能家居设备</span></li>
<li><span><span>与在市场上已经被广泛采用的 Vision P6 DSP 相比,新的Vision P1能提供400 GOPS 的算力,</span></span><span><span>并提升高达</span></span><span><span><span> </span>20%<span> </span></span></span><span><span>的频率,且其面积只需三分之一,这些优势得益于它的</span></span><span><span><span> </span>128<span> </span></span></span><span><span>位</span></span><span><span><span> </span>SIMD<span> </span></span></span><span><span>位宽</span></span></li>
<li><span>经过优化的架构只需占用较小的内存,并在低功耗模式下运行</span></li>
</ul>
<p><span>“</span><span>传感器的绝对数量以及对每秒更高帧数和分辨率的需求,推动了市场对于支持多种数据类型的高性能视觉和</span><span><span> </span>AI DSP<span> </span></span><span>的需求。</span><span>”</span><span>Cadence<span> </span></span><span>公司副总裁兼</span><span><span> </span>IP<span> </span></span><span>事业部总经理</span><span><span> </span>Sanjive Agarwala<span> </span></span><span>表示,</span><span>“</span><span>与此同时,市场还需要低功耗视觉</span><span><span> </span>DSP<span> </span></span><span>和入门级</span><span><span> </span>AI<span> </span></span><span>技术,用以支持始终在线的智能传感器应用。随着</span><span><span> </span>Tensilica Vision Q8<span> </span></span><span>和</span><span><span> </span>Vision P1 DSP<span> </span></span><span>的推出,</span><span>Cadence<span> </span></span><span>可提供从高端到低端的全面视觉和</span><span><span> </span>AI DSP<span> </span></span><span>产品组合,为我们的客户提供最佳的灵活性,且能大幅加快产品上市的时间。</span><span>”</span></p>
<p><strong>行业分析师引言</strong></p>
<p><span><span>Linley Group<span> </span></span></span><span><span>高级分析师</span></span><span><span><span> </span>Mike Demler<span> </span></span></span><span><span>称:</span></span><span><span>“</span></span><span><span>在移动、汽车和</span></span><span><span><span> </span>AR/VR<span> </span></span></span><span><span>市场中,</span></span><span><span>3D<span> </span></span></span><span><span>传感器以及其他类型传感器技术的使用保持着增长态势。这些市场对适用于边缘应用的高性能低功耗的视觉和人工智能处理功能的需求越来越高。为了满足这些需求,系统级芯片设计人员正在寻求具有一系列性能点的硬件</span></span><span><span><span> </span>IP</span></span><span><span>。</span></span><span><span>Cadence<span> </span></span></span><span><span>已成功交付了六代</span></span><span><span><span> </span>Tensilica Vision DSP</span></span><span><span>,且收获了良好的口碑。如今随着这两款新</span></span><span><span><span> </span>DSP<span> </span></span></span><span><span>的推出,</span></span><span><span>Cadence<span> </span></span></span><span><span>将依旧是系统级芯片设计人员无法抗拒的理想选择。</span></span><span><span>”<span> </span></span></span></p>
<p><span><span>Yole Développement (Yole)<span> </span></span></span><span><span>影像首席分析师</span></span><span><span><span> </span>Pierre Cambou<span> </span></span></span><span><span>称:</span></span><span><span>“</span></span><span><span>正如我们在《面向消费类产品和汽车的</span></span><span><span><span> </span>CMOS<span> </span></span></span><span><span>相机模组行业</span></span><span><span>-2020</span></span><span><span>版》报告中所说的那样,在未来五年内,我们预计图像传感器市场的传感领域将继续保持</span></span><span><span><span> </span>20-30%<span> </span></span></span><span><span>的增长率,而其中最大的增长将来自汽车和移动市场领域。移动图像传感器市场中的传感应用目前在生物识别和</span></span><span><span><span> </span>3D<span> </span></span></span><span><span>方面已经非常成熟;在汽车领域,鉴于更复杂的用例数量激增,</span></span><span><span>ADAS<span> </span></span></span><span><span>图像传感器获得越来越多的关注。市场目前需要具有每秒几万亿次操作算力</span></span><span><span><span> </span>(TOPS)<span> </span></span></span><span><span>的高性能</span></span><span><span><span> </span>DSP</span></span><span><span>,以满足即将到来的消费者和</span></span><span><span><span> </span>ADAS Level 2+<span> </span></span></span><span><span>级别的应用。同时,新的消费类用例拉动了对始终在线操作的需求</span></span><span><span>。</span></span><span><span>因此,正如我们的《神经形态传感与计算</span></span><span><span>-2019</span></span><span><span>版》报告中所说明的那样,效率和低功耗操作模式成为备受追捧的功能。</span></span><span><span>”</span></span></p>
<p><strong>合作伙伴</strong></p>
<p><span>“</span><span>我们将</span><span><span> </span>SlimEdge AR<span> </span></span><span>应用移植到了</span><span><span> </span>Cadence<span> </span></span><span>的前一代</span><span><span> </span>Tensilica Vision DSP<span> </span></span><span>上,实现了性能提升的大幅超越。</span><span>Tensilica Vision Q8 DSP<span> </span></span><span>可提供双倍的视觉和</span><span><span> </span>AI<span> </span></span><span>性能,这对低延迟和高精度要求至关重要的</span><span><span> </span>vSLAM<span> </span></span><span>而言十分利好。</span><span>” Xvisio Technology<span> </span></span><span>公司首席执行官</span><span><span> </span>John Lin<span> </span></span><span>表示,</span><span>“Tensilica Vision P1 DSP<span> </span></span><span>可精准匹配始终在线应用的低功耗需求,对于</span><span><span> </span>AR<span> </span></span><span>眼镜市场而言是非常必要的补充。</span><span>”</span></p>
<p><span>“</span><span>通过与</span><span><span> </span>Cadence<span> </span></span><span>的合作,我们将驾驶员监控技术移植到了对高性能、低功耗和低延迟的要求极为严苛的系统中。</span><span>”Eyeris<span> </span></span><span>公司创始人兼首席执行官</span><span><span> </span>Modar Alaoui<span> </span></span><span>表示,</span><span>“Cadence<span> </span></span><span>提供了绝佳的视觉和</span><span><span> </span>AI<span> </span></span><span>平台,包括体现我们技术所必需的软件工具和库。我们期待使用</span><span><span> </span>Tensilica Vision Q8<span> </span></span><span>和</span><span><span> </span>Vision P1 DSP</span><span>,并希望进一步巩固我们与</span><span><span> </span>Cadence<span> </span></span><span>的合作。</span><span>”</span></p>
<p><span>Tensilica Vision Q8 和 Vision P1 DSP<span> </span></span><span>数字全流程支持公司的智能系统设计</span><span>™</span><span><span> </span></span><span>战略(</span><span>Intelligent System Design</span><span>™</span><span><span> </span></span><span>),助力客户实现SoC卓越设计</span><span>。</span><span>Tensilica Vision Q8 DSP<span> </span></span><span>现</span><span>已上市,</span><span>Tensilica Vision P1</span><span><span> </span>DSP<span> </span></span><span>预计</span><span>将于</span><span><span> </span>2021 年第二季度全面</span><span>发</span><span>布。</span></p>
<p><strong>关于 Cadence</strong></p>
<p><span>Cadence 在</span><span>计</span><span>算</span><span>软</span><span>件</span><span>领</span><span>域</span><span>拥</span><span>有超</span><span>过</span><span><span> </span>30 年的</span><span>专业经验</span><span>,是</span><span>电</span><span>子</span><span>设计产业</span><span>的关</span><span>键领导</span><span>者。</span><span>基于公司的智能系</span><span>统设计战</span><span>略,</span><span>Cadence 致力于提供</span><span>软</span><span>件、硬件和</span><span><span> </span>IP<span> </span></span><span>产</span><span>品,助力</span><span>电</span><span>子</span><span>设计</span><span>概念成</span><span>为现实</span><span>。</span><span>Cadence 的客</span><span>户</span><span>遍布全球,皆</span><span>为</span><span>最具</span><span>创</span><span>新能力的企</span><span>业</span><span>,他</span><span>们</span><span>向消</span><span>费电</span><span>子、超大</span><span>规</span><span>模</span><span>计</span><span>算、5G通</span><span>讯</span><span>、汽</span><span>车</span><span>、移</span><span>动</span><span>、航空、工</span><span>业</span><span>和医</span><span>疗</span><span>等最具活力的</span><span>应</span><span>用市</span><span>场</span><span>交付从芯片、</span><span>电</span><span>路板到系</span><span>统</span><span>的卓越</span><span>电</span><span>子</span><span>产</span><span>品。</span><span>Cadence 已</span><span>连续</span><span>七年名列美国</span><span>财</span><span>富</span><span>杂</span><span>志</span><span>评选</span><span>的</span><span><span> </span>100 家最适合工作的公司。</span><span>如需了解更多信息,</span><span>请访问</span><span>公司网站</span><span><span> </span></span><a href="http://www.cadence.com/"><span>cadence.com</span></a><span>。</span></p>