General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a return to wide vector units (several tens vs. 1-10), memory architectures that deliver higher peak memory bandwidth (hundreds of gigabytes per second vs. tens), and smaller caches/scratchpad memories (less than 1 megabyte vs. 1-10 megabytes). In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms. We aim to provide hints to architects about understanding algorithm aspect to GPGPU. We also provide detailed performance analysis and guide optimizations from high-level algorithms to low-level instruction level optimizations. As a case study, we use n-body particle simulations known as the fast multipole method (FMM) as an example. We also briefly survey the state-of-the-art in GPU performance analysis tools and techniques. Table of Contents: GPU Design, Programming, and Trends / Performance Principles / From Principles to Practice: Analysis and Tuning / Using Detailed Performance Analysis to Guide Optimization
Winged ventriloquy—a powerful new poetry collection channeling the language of birds by South Korea’s most innovative contemporary writer An iconic figure in the emergence of feminist poetry in South Korea and now internationally renowned, Kim Hyesoon pushes the poetic envelope into the farthest reaches of the lyric universe. In her new collection, Kim depicts the memory of war trauma and the collective grief of parting through what she calls an “I-do-bird-sequence,” where “Bird-human is the ‘I.’” Her remarkable essay “Bird Rider” explains: “I came to write Phantom Pain Wings after Daddy passed away. I called out for birds endlessly. I wanted to become a translator of bird language. Bird language that flies to places I’ve never been.” What unfolds is an epic sequence of bird ventriloquy exploring the relentless physical and existential struggles against power and gendered violence in “the eternal void of grief” (Victoria Chang, The New York Times Magazine). Through intensely rhythmic lines marked by visual puns and words that crash together and then fly away as one, Kim mixes traditional folklore and mythology with contemporary psychodramatic realities as she taps into a cremation ceremony, the legacies of Rimbaud and Yi Sang, a film by Agnes Varda, Francis Bacon’s portrait of Pope Innocent X, cyclones, a princess trapped in a hospital, and more. A simultaneity of voices and identities rises and falls, existing and exiting on their delayed wings of pain.
Kim Hyesoon’s poems “create a seething, imaginative under-and over-world where myth and politics, the everyday and the fabulous, bleed into each other” (Sean O’Brien, The Independent) *Winner of The Griffin International Poetry Prize and the Lucien Stryk Asian Translation Award* The title section of Kim Hyesoon’s powerful new book, Autobiography of Death, consists of forty-nine poems, each poem representing a single day during which the spirit roams after death before it enters the cycle of reincarnation. The poems not only give voice to those who met unjust deaths during Korea’s violent contemporary history, but also unveil what Kim calls “the structure of death, that we remain living in.” Autobiography of Death, Kim’s most compelling work to date, at once reenacts trauma and narrates our historical death—how we have died and how we survive within this cyclical structure. In this sea of mirrors, the plural “you” speaks as a body of multitudes that has been beaten, bombed, and buried many times over by history. The volume concludes on the other side of the mirror with “Face of Rhythm,” a poem about individual pain, illness, and meditation.
Kim Hyesoon’s poems “create a seething, imaginative under-and over-world where myth and politics, the everyday and the fabulous, bleed into each other” (Sean O’Brien, The Independent) *Winner of The Griffin International Poetry Prize and the Lucien Stryk Asian Translation Award* The title section of Kim Hyesoon’s powerful new book, Autobiography of Death, consists of forty-nine poems, each poem representing a single day during which the spirit roams after death before it enters the cycle of reincarnation. The poems not only give voice to those who met unjust deaths during Korea’s violent contemporary history, but also unveil what Kim calls “the structure of death, that we remain living in.” Autobiography of Death, Kim’s most compelling work to date, at once reenacts trauma and narrates our historical death—how we have died and how we survive within this cyclical structure. In this sea of mirrors, the plural “you” speaks as a body of multitudes that has been beaten, bombed, and buried many times over by history. The volume concludes on the other side of the mirror with “Face of Rhythm,” a poem about individual pain, illness, and meditation.
General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a return to wide vector units (several tens vs. 1-10), memory architectures that deliver higher peak memory bandwidth (hundreds of gigabytes per second vs. tens), and smaller caches/scratchpad memories (less than 1 megabyte vs. 1-10 megabytes). In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms. We aim to provide hints to architects about understanding algorithm aspect to GPGPU. We also provide detailed performance analysis and guide optimizations from high-level algorithms to low-level instruction level optimizations. As a case study, we use n-body particle simulations known as the fast multipole method (FMM) as an example. We also briefly survey the state-of-the-art in GPU performance analysis tools and techniques.
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