the National Key Research and Development Project of China under Grant No.2021YFB0300300;the National Natural Science Foundation of China under Grant Nos.62090023,61872374,61672526 and 62172430;the Natural Science Foundation of Hunan Province of China under Grant No.2021JJ10052.
Embedded and Internet of Things(IoT)devices have extremely strict requirements on the area and power consumption of the processor because of the limitation on its working environment.To reduce the overhead of the embe...
the National Key Research and Development Plan of China under Grant No.2016YFB0200603;the National Natural Science Foundation of China under Grant No.91530323;the Beijing Natural Science Foundation of China under Grant No.JQ18001.
With the advent of the big data era,the amounts of sampling data and the dimensions of data features are rapidly growing.It is highly desired to enable fast and efficient clustering of unlabeled samples based on featu...
This work is partially supported by the National Key Research and Development Program of China under Grant No. 2017YFB1003101, the National Natural Science Foundation of China under Grant Nos. 61472396, 61432016, 61473275, 61522211, 61532016, 61521092, 61502446, 61672491, 61602441, 61602446, 61732002, and 61702478, Beijing Science and Technology Projects under Grant No. Z151100000915072, the Science and Technology Service Network Initiative (STS) Projects of Chinese Academy of Sciences, and the National Basic Research 973 Program of China under Grant No. 2015CB358800.
The increasing attention on deep learning has tremendously spurred the design of intelligence processing hardware. The variety of emerging intelligence processors requires standard benchmarks for fair comparison and s...
This work is partially supported by the National Natural Science Foundation of China under Grant Nos. 61432016, 61472396, 61473275, 61522211, 61532016, 61521092, 61502446, 61672491, 61602441, and 61602446, the National Basic Research 973 Program of China under Grant No. 2015CB358800, and the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No. XDB02040009.
Recently, deep learning processors have become one of the most promising solutions of accelerating deep learning algorithms. Currently, the only method of programming the deep learning processors is through writing as...
This work is supported by the National Natural Science Foundation of China under Grant Nos. 61572470, 61532017, 61522406, 61432017, 61376043, and 61221062.
The load power range of modern processors is greatly enlarged because many advanced power management techniques are employed, such as dynamic voltage frequency scaling, Turbo Boosting, and near-threshold voltage (NTV...
Due to advances in semiconductor techniques, many-core processors have been widely used in high performance computing. However, many applications still cannot be carried out efficiently due to the memory wall, which h...
supported by the National Science and Technology Major Project under Grant Nos.2009ZX01028-002-003,2009ZX01029-001-003,2010ZX01036-001-002;the National Natural Science Foundation of China under Grant Nos.61050002,61003064,60921002
General-purpose processor (GPP) is an important platform for fast Fourier transform (FFT),due to its flexibility,reliability and practicality.FFT is a representative application intensive in both computation and m...
supported in part by a grant from HP Labs China,the National Natural Science Foundation of China under GrantNo.60496325;the Main Memory OLAP Servers Project
Data cube computation is an important problem in the field of data warehousing and OLAP (online analytical processing). Although it has been studied extensively in the past, most of its algorithms are designed witho...
This research was supported in part by the National Science Foundation of U.S.A.under NSF Grant Nos. EIA-0224377,CNS-0406328,CNS-0509118,and CCF-0621435.
Data access delay is a major bottleneck in utilizing current high-end computing (HEC) machines. Prefetching, where data is fetched before CPU demands for it, has been considered as an effective solution to masking d...
Supported by the National Natural Science Foundation of China for Distinguished Young Scholars under Grant No. 60325205, the National Natural Science Foundation of China under Grant No. 60673146, the National High Technology Development 863 Program of China under Grants No. 2002AAl10010, No. 2005AAl10010, No. 2005AAl19020, and the National Grand Fundamental Research 973 Program of China under Grant No. 2005CB321600.
This paper introduces the microarchitecture and physical implementation of the Godson-2E processor, which is a four-issue superscalar RISC processor that supports the 64-bit MIPS instruction set. The adoption of the a...