Kirjahaku

The centre may hold, but borders can fray. Frontier Fieldwork explores the work of social scientists, agriculturists, photographers, and missionaries who took to the field in China’s southwest at a time when foreign political powers were contesting China’s claims over its frontiers. In the early twentieth century, when the threat of imperialism loomed large in the Sino-Tibetan borderlands, these fieldworkers undertook a nation-building exercise to unite a disparate, multi-ethnic population. Andres Rodriguez exposes the transformative power of the fieldworkers’ efforts, which placed China’s margins at the centre of its nation-making process and race to modernity.

The centre may hold, but borders can fray. Frontier Fieldwork explores the work of social scientists, agriculturists, photographers, students, and missionaries who took to the field on China's southwestern border at a time when foreign political powers were contesting China's claims over its frontiers. In the early twentieth century, when the threat of imperialism loomed large in the Sino-Tibetan borderlands, these fieldworkers undertook a nation-building exercise to unite a disparate, multi-ethnic population at the periphery of the country. They saw themselves as a vanguard force, foreshadowing the policies of social development and intervention that would be pursued during the Cold War decades later. Drawing on Chinese and Western materials, Andres Rodriguez exposes the transformative power of the fieldworkers' efforts, which went beyond creating new forms of political action and identity. His incisive study demonstrates that fieldwork placed China's margins at the centre of its nation-making process and race to modernity.

Andres Rodriguez is the author of Night Song (Tia Chucha Press), Book of the Heart (Lindisfarne Press), and Portal of Dreams (Woodley Press). His poems have appeared in Bilingual Review, Cortland Review, Harvard Review, Hubbub, New York Quarterly, Valparaiso Poetry Review, and several anthologies including Currents from the Dancing River (Harcourt Brace) and Wild Song (University of Georgia Press). In 2007 he won Poets & Writers' Maureen Egan Award for Poetry. He lives and works in Kansas City. It hurt to face such ordinary brightness, such casual daytime splendor, because I see the end in all things no matter how hard I try to seine beauty's brief sight. And here I am again trying to live into what I see. "Poet Andres Rodriguez's wonderful new book is a "sorcery of falling." With imagery both fierce and exquisite, these poems take the reader on a plummeting and soaring journey through the lives of the fallen and the trampled, and the ardent struggle to veer upward again into flight." Charlotte Zoe Walker, author of Condor and Hummingbird, My Irish Grandmothers, and editor of The Art of Seeing Things "Portal of Dreams crackles with life, mourns death, and senses the essence of human connections. In his finely shaped poems, Andres Rodriguez travels from the city and its "crust of shattered nights" through desert revelations and on into deep history's "crowded tomb" and cruelties. He channels lost and wounded voices and communes with demons and dreams. This is just what you want in a book of poems: surprise and revelation on every page." - Steve Paul, author of Hemingway at Eighteen and editor of Kansas City Nair

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to bettercollaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.

backspace familiar is the first collection poetry from Andres Rodriguez, written between 2016 and 2017. Rooted in themes of existentialism, Andres' poetry can sometimes be surreal and other times focus on the uniqueness of something found in the ordinary of everything.Andres Rodriguez is an award-losing poet and a significantly more successful practitioner of privacy and information security. He currently resides in Tampa, Florida, with his wife, son, daughter, and blue-tick hound lab mix. He is an adjunct instructor for the University of Illinois at Chicago's graduate health informatics program. He is also the founder of The League of Existential Poets, a rather small (at the time of this writing and most likely at the time of your reading) online group of poets.Born in a rural town in Texas, he is the son of an electrician and nurse. Having lived in various towns such as Eagle Lake, Columbus, Victoria, and McAllen, his family settled down in the Pasadena / South Houston area. He has lived in Nashville, Tennessee, and Maysville, Kentucky, working in healthcare technology management.Andres was born and raised in a religious organization with exclusive beliefs, rooted in the prediction and waiting for end-time events. He recalls childhood stories and sermons of nuclear war, widespread famine, and disfiguring diseases. Growing up, he became fond of post-apocalyptic and surreal imagery, which influences his work today. The world having not ended, he decided to set some goals and obtained a Bachelor of Psychology and eventually a Master of Health Informatics.As an incidental poet, existential Hispanic, recovering poetaster, part-time surrealist, and armchair explorer, Andres explores the meaning of life with surreal landscapes and undiluted imagery framed by words. His primary influences include David Lynch, Ron Padgett, and Salvador Dali, but the structure and a unique fingerprint left on his poems are solely his own. He has had poems published in The Bees Are Dead, The Digital Culturalist, and The Radium Piano Band Magazine.