Search Results - "Samadi, Mehrzad"

A GPU-accelerated compute framework for pathogen genomic variant identification to aid genomic epidemiology of infectious disease: a malaria case study by Carpi, Giovanna, Gorenstein, Lev, Harkins, Timothy T, Samadi, Mehrzad, Vats, Pankaj

“…Abstract As recently demonstrated by the COVID-19 pandemic, large-scale pathogen genomic data are crucial to characterize transmission patterns of human…”
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Ultrarapid Nanopore Genome Sequencing in a Critical Care Setting by Gorzynski, John E, Goenka, Sneha D, Shafin, Kishwar, Jensen, Tanner D, Fisk, Dianna G, Grove, Megan E, Spiteri, Elizabeth, Pesout, Trevor, Monlong, Jean, Baid, Gunjan, Bernstein, Jonathan A, Ceresnak, Scott, Chang, Pi-Chuan, Christle, Jeffrey W, Chubb, Henry, Dalton, Karen P, Dunn, Kyla, Garalde, Daniel R, Guillory, Joseph, Knowles, Joshua W, Kolesnikov, Alexey, Ma, Michael, Moscarello, Tia, Nattestad, Maria, Perez, Marco, Ruzhnikov, Maura R.Z, Samadi, Mehrzad, Setia, Ankit, Wright, Chris, Wusthoff, Courtney J, Xiong, Katherine, Zhu, Tong, Jain, Miten, Sedlazeck, Fritz J, Carroll, Andrew, Paten, Benedict, Ashley, Euan A

“…Because a genetic diagnosis can guide clinical management and improve prognosis in critically ill patients, much effort has gone into developing methods that…”
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Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing by Goenka, Sneha D., Gorzynski, John E., Shafin, Kishwar, Fisk, Dianna G., Pesout, Trevor, Jensen, Tanner D., Monlong, Jean, Chang, Pi-Chuan, Baid, Gunjan, Bernstein, Jonathan A., Christle, Jeffrey W., Dalton, Karen P., Garalde, Daniel R., Grove, Megan E., Guillory, Joseph, Kolesnikov, Alexey, Nattestad, Maria, Ruzhnikov, Maura R. Z., Samadi, Mehrzad, Sethia, Ankit, Spiteri, Elizabeth, Wright, Christopher J., Xiong, Katherine, Zhu, Tong, Jain, Miten, Sedlazeck, Fritz J., Carroll, Andrew, Paten, Benedict, Ashley, Euan A.

“…Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use…”
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Abstract 1900: Rapid variant detection and annotations from next generation sequencing data using a GPU accelerated framework by Vats, Pankaj, Sethia, Ankit, Samadi, Mehrzad, Harkins, Timothy T.

“…Abstract Introduction Next Generation Sequencing (NGS) played a crucial role in revolutionizing the field of human genetics to become an integral part of…”
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Rumba: An online quality management system for approximate computing by Khudia, Daya S., Zamirai, Babak, Samadi, Mehrzad, Mahlke, Scott

“…Approximate computing can be employed for an emerging class of applications from various domains such as multimedia, machine learning and computer vision. The…”
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Orchestrating Multiple Data-Parallel Kernels on Multiple Devices by Janghaeng Lee, Samadi, Mehrzad, Mahlke, Scott

“…Traditionally, programmers and software tools have focused on mapping a single data-parallel kernel onto a heterogeneous computing system consisting of…”
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de novo variant calling identifies cancer mutation signatures in the 1000 Genomes Project by Ng, Jeffrey K., Vats, Pankaj, Fritz‐Waters, Elyn, Sarkar, Stephanie, Sams, Eleanor I., Padhi, Evin M., Payne, Zachary L., Leonard, Shawn, West, Marc A., Prince, Chandler, Trani, Lee, Jansen, Marshall, Vacek, George, Samadi, Mehrzad, Harkins, Timothy T., Pohl, Craig, Turner, Tychele N.

“…Detection of de novo variants (DNVs) is critical for studies of disease‐related variation and mutation rates. To accelerate DNV calling, we developed a…”
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Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems by Janghaeng Lee, Samadi, Mehrzad, Yongjun Park, Mahlke, Scott

“…Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each device: the GPU handles data parallel work by taking advantage of its…”
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APOGEE: Adaptive prefetching on GPUs for energy efficiency by Sethia, Ankit, Dasika, Ganesh, Samadi, Mehrzad, Mahlke, Scott

“…Modern graphics processing units (GPUs) combine large amounts of parallel hardware with fast context switching among thousands of active threads to achieve…”
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VAST: The illusion of a large memory space for GPUs by Janghaeng Lee, Samadi, Mehrzad, Mahlke, Scott

“…Heterogeneous systems equipped with traditional processors (CPUs) and graphics processing units (GPUs) have enabled processing large data sets. With new…”
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Dynamic Voltage and Frequency Scheduling for Embedded Processors Considering Power/Performance Tradeoffs by Salehi, M. E., Samadi, M., Najibi, M., Afzali-Kusha, Ali, Pedram, M., Fakhraie, S. M.

“…An adaptive method to perform dynamic voltage and frequency scheduling (DVFS) for minimizing the energy consumption of microprocessor chips is presented…”
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Dynamic Orchestration of Massively Data Parallel Execution by Samadi, Mehrzad

“…Graphics processing units (GPUs) are specialized hardware accelerators capable of rendering graphics much faster than conventional general-purpose processors…”
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SAGE: Self-tuning approximation for graphics engines by Samadi, Mehrzad, Janghaeng Lee, Jamshidi, D. Anoushe, Hormati, Amir, Mahlke, Scott

“…Approximate computing, where computation accuracy is traded off for better performance or higher data throughput, is one solution that can help data processing…”
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Dynamic parallelization of JavaScript applications using an ultra-lightweight speculation mechanism by Mehrara, M, Po-Chun Hsu, Samadi, M, Mahlke, S

“…As the web becomes the platform of choice for execution of more complex applications, a growing portion of computation is handed off by developers to the…”
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Dynamic Orchestration of Massively Data Parallel Execution by Samadi, Mehrzad

“…Graphics processing units (GPUs) are specialized hardware accelerators capable of rendering graphics much faster than conventional general-purpose processors…”
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Power management with fuzzy decision support system by Samadi, M., Afzali-Kusha, A.

“…In this paper, we propose a new dynamic power management (DPM) system based on fuzzy decision support system. Different dynamic power management policies may…”
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Power management by brain emotional learning algorithm by Samadi, M., Afzali-Kusha, A., Lucas, C.

“…Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of view. Dynamic power management is a…”
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D2MA: Accelerating coarse-grained data transfer for GPUs by Jamshidi, D. Anoushe, Samadi, Mehrzad, Mahlke, Scott

“…To achieve high performance on many-core architectures like GPUs, it is crucial to efficiently utilize the available memory bandwidth. Currently, it is common…”
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Rethinking Numerical Representations for Deep Neural Networks by Hill, Parker, Zamirai, Babak, Lu, Shengshuo, Chao, Yu-Wei, Laurenzano, Michael, Samadi, Mehrzad, Papaefthymiou, Marios, Mahlke, Scott, Wenisch, Thomas, Deng, Jia, Tang, Lingjia, Mars, Jason

“…With ever-increasing computational demand for deep learning, it is critical to investigate the implications of the numeric representation and precision of DNN…”
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Quality Control for Approximate Accelerators by Error Prediction by Khudia, Daya Shanker, Zamirai, Babak, Samadi, Mehrzad, Mahlke, Scott

“…How to ensure the output quality is one of the most critical challenges in approximate computing. This paper presents an online quality management system in an…”
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