{"title":"Computers--Computer Engineering","description":null,"products":[{"product_id":"fundamentals-of-software-architecture-a-modern-engineering-approach","title":"Fundamentals of Software Architecture: A Modern Engineering Approach","description":"\u003cp\u003eSalary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.\u003c\/p\u003e \u003cp\u003eMark Richards and Neal Ford--hands-on practitioners who have taught software architecture classes professionally for years--focus on architecture principles that apply across all technology stacks. You'll explore software architecture in a modern light, taking into account all the innovations of the past decade.\u003c\/p\u003e \u003cp\u003eThis book examines: \u003c\/p\u003e\u003cul\u003e \u003cli\u003e\n\u003cb\u003eArchitecture styles and patterns\u003c\/b\u003e: Microservices, modular monoliths, microkernels, layered architectures, and many more\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eComponents\u003c\/b\u003e: Identification, coupling, cohesion, partitioning, and granularity\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eSoft skills\u003c\/b\u003e: Effective team management, collaboration, business engagement models, negotiation, presentations, and more\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eModernity\u003c\/b\u003e: Engineering practices and operational approaches that have changed radically in the past few years, including cloud considerations and generative AI\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eArchitecture as an engineering discipline\u003c\/b\u003e: Repeatable results, metrics, and concrete valuations that add rigor to software architecture\u003c\/li\u003e \u003c\/ul\u003e\u003cdiv style=\"display:none\"\u003eISBN-10: 1098175514\u003cbr\u003eISBN-13: 9781098175511\u003cbr\u003eAuthor: Richards, Mark, Ford, Neal, N\/A\u003cbr\u003ePublisher: O'Reilly Media\u003cbr\u003e\n\u003c\/div\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback (Apr 2025)","offer_id":45659801059525,"sku":"9781098175511","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6414\/2533\/files\/9781098175511.jpg?v=1768914398"},{"product_id":"ai-systems-performance-engineering-optimizing-model-training-and-inference-workloads-with-gpus-cuda-and-pytorch","title":"AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch","description":"\u003cp\u003eElevate your AI system performance capabilities with this definitive guide to maximizing efficiency across every layer of your AI infrastructure. In today's era of ever-growing generative models, \u003cem\u003eAI Systems Performance Engineering\u003c\/em\u003e provides engineers, researchers, and developers with a hands-on set of actionable optimization strategies. Learn to co-optimize hardware, software, and algorithms to build resilient, scalable, and cost-effective AI systems that excel in both training and inference. Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.\u003c\/p\u003e \u003cp\u003eInside, you'll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems. You'll also master the art of scaling GPU clusters for high performance, distributed model training jobs, and inference servers. The book ends with a 175+-item checklist of proven, ready-to-use optimizations.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eCodesign and optimize hardware, software, and algorithms to achieve maximum throughput and cost savings\u003c\/li\u003e \u003cli\u003eImplement cutting-edge inference strategies that reduce latency and boost throughput in real-world settings\u003c\/li\u003e \u003cli\u003eUtilize industry-leading scalability tools and frameworks\u003c\/li\u003e \u003cli\u003eProfile, diagnose, and eliminate performance bottlenecks across complex AI pipelines\u003c\/li\u003e \u003cli\u003eIntegrate full stack optimization techniques for robust, reliable AI system performance\u003c\/li\u003e\n\u003c\/ul\u003e\u003cdiv style=\"display:none\"\u003eISBN-13: 9798341627789\u003cbr\u003eAuthor: Fregly, Chris\u003cbr\u003ePublisher: O'Reilly Media\u003cbr\u003e\n\u003c\/div\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback (Dec 2025)","offer_id":46081057456325,"sku":"9798341627789","price":99.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6414\/2533\/files\/9798341627789.jpg?v=1776042786"}],"url":"https:\/\/www.inveni.store\/collections\/computers-computer-engineering.oembed","provider":"Inveni","version":"1.0","type":"link"}