VAST lab

Time 2020-09-29 21:07:00

Web Name: VAST lab

WebSite: http://cadlab.cs.ucla.edu

ID:64453

Keywords:

VAST,lab,

Description:

The VAST lab at UCLA investigates cutting-edge research topics at the intersection of VLSI technologies, design automation,  architecture and compiler optimization at multiple scales, from micro-architecture building blocks,  to heterogeneous compute nodes, and scalable data centers.  Current focuses include architecture and design automation for emerging technologies, customizable domain-specific computing with applications to multiple domains, such as imaging processing, bioinformatics, data mining and machine learning. UCLA Computer Scientists Set Benchmarks to Optimize Quantum Computer Performance August 14, 2020 | 0 comments Two UCLA computer scientists have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers’ ability to achieve optimal performance. Specifically, their research has... Read More Congratulations to Dr. Young-kyu Choi for Receiving 2020 Cisco Outstanding Graduate Student Research Award May 18, 2020 | 0 comments Dr. Young-kyu Choi has received 2020 Cisco Outstanding Graduate Student Research Award for his exceptional research contribution during his PhD studies. He is one of four recipients selected for the honor. His PhD work, "Performance Debugging... Read More UCLA is selected as one of the four world-class universities by Xilinx to establish Adaptive Computer Research Clusters May 6, 2020 | 0 comments Xilinx Teams with Leading Universities Around the World to Establish Adaptive Compute Research Clusters to spearhead novel research into all areas of adaptive compute acceleration.The cluster at UCLA will focus on energy-efficient... Read More Optimizing fpga-based accelerator design for deep convolutional neural networks Conference publication Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, Jason Cong 2019 DAC Roundtable Journal publication Giovanni De Micheli, Antun Domic, Massimiliano Di Ventra, Martin Roettler, and Jason Cong [PDF]: A-QED Verification of Hardware Accelerators Conference publication Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang Clark Barrett and Subhasish Mitra [PDF]: Bonsai: High-Performance Adaptive Merge Tree Sorting Conference publication Nikola Samardzic*, Weikang Qiao*, Vaibhav Aggarwal, Mau-Chung Frank Chang, Jason Cong Architecture and Design Automation for Quantum Computing Quantum computing (QC) has been shown, in theory, to hold huge advantages over classical computing. However, there remains many engineering challenges in the implementation of real-world QC applications. In order to devide-and-conquer, we can split the task as below.... Read More Programming Infrastructure for Heterogeneous Architectures Heterogeneous computing with extensive use of accelerators, such as FPGAs and GPUs, has shown great promise to bring in orders of magnitude improvement in computing efficiency for a wide range of applications. The latest advances in industry have led to highly integrated heterogeneous hardware... Read More Near Data Computing In the Big Data era, the volume of data is exploding, putting forward a new challenge to the existing computer system. Traditionally, the computer system is designed to be computing-centric, in which the data from IO devices are transferred and then processed by the CPU. However, the data... Read More Acceleration of Deep Learning for Cloud and Edge Computing In this project, we explore efficient algorithms and architectures for state-of-the-art deep learning based applications. In the first work, we are exploring learning algorithms and acceleration techniques on graph learning algorithms. The second work, Caffeine, offers a uniformed... Read More Customized Computing for Big-Data ApplicationsIn the era of big data, many applications present siginificant compuational challenges. For example, in the field of bio-infomatics, the computation demand for personalized cancer treatment is prohibitively high for the general-purpose computing technologies, as tumor heterogeneity... Read More Customizable Domain-Specific Computing http://www.cdsc.ucla.eduTo meet ever-increasing computing needs and overcome power density limitations, the computing industry has entered theera of parallelization, with tens to hundreds of computing cores integrated into a single... Read More SODA: Stencil with Optimized Dataflow Architecture https://github.com/UCLA-VAST/sodaStencil computation is one of the most important kernels in many application domains such as image processing, solving partial differential equations, and cellular automata. Many of the stencil kernels are... Read More

TAGS:VAST lab 

<<< Thank you for your visit >>>

Hot Websites