Intel Corporation

Shanghai Jiaotong University

Chong Han

Mohan J Kumar

Sujoy Sen

Xiao Liang Hu

Sarathy Jayakumar

Ziye Yang

Gang Cao

Anjaneya Reddy Chagam Reddy

Huan Zhou

Changpeng Liu

James R Harris

Benjamin Walker

Chuan Song

Ruixia Li

Vishal Verma

Yuhang Chen

Longfei Yan

Haiyue Wang

Xiaojin Yuan

Yongzhi Wu

A microcode (uCode) hot-upgrade method for bare metal cloud deployment and associated apparatus. The uCode hot-upgrade method applies a uCode patch to a firmware storage device (e.g., BIOS SPI flash) through an out-of-band controller (e.g., baseboard management controller (BMC)). In conjunction with receiving a uCode patch, a uCode upgrade interrupt service is triggered to upgrade uCode for one or more CPUs in a bare-metal cloud platform during runtime of a tenant host operating system (OS) using an out-of-bound process. This innovation enables cloud service providers to deploy uCode hot-patches to bare metal servers for persistent storage and live-patch without touching the tenant operating system environment.

Microcode(uCode) hot-upgrade method for bare metal cloud deployment

A THz UM-MIMO channel estimation method based on the DCNN comprises the steps: the hybrid spherical and planar-wave modeling (HSPM), by taking a sub-array in the antenna array as a unit, employing the PWM within the sub-array, and employing the SWM among the sub-arrays; estimating the channel parameters between the reference sub-arrays at Tx and Rx through a DCNN, including the angles of departure and arrival, the propagation distance and the path gain; deducing the channel parameters between the reference sub-array and other sub-arrays by utilizing the obtained channel parameters and the geometrical relationships among sub-arrays, and recovering the channel matrix; wherein accurate three-dimensional channel modeling is achieved by the HSPM, which possesses high modeling accuracy and low complexity.

Deep convolutional neural network powered terahertz ultra-massive multi-input-multi-output channel estimation method

Examples herein relate to polling for input/output transactions of a network interface or a storage device, or any peripheral device. Some examples monitor clock cycles spent checking for a presence of input/output (I/O) events and processing I/O events and monitor clock cycles spent checking for presence of I/O events without completing an I/O event. Central processing unit (CPU) core utilization can be based on clock cycles spent checking for a presence of I/O events and processing I/O events and clock cycles spent checking for presence of I/O events without completion of an I/O event. For example, if core utilization is below a threshold, frequency of the core can be reduced for performing polling of I/O events. If core utilization is at or above the threshold, frequency of the core can be increased used to performing polling of I/O events.

Adaptive processor resource utilization

A discrete Fourier transform spread orthogonal time frequency space modulation method comprises the steps of performing DFT preceding processing and delay-Doppler domain mapping processing on the transmit data symbols, OTFS modulator, and performing delay-Doppler domain demapping processing and IDFT decoding processing on a received signal to realize demodulation; compared with the existing waveforms, including OFDM and DFT-s-OFDM, the proposed DFT-s-OTFS can reduce the bit error rate under high Doppler spread and the peak-to-average power ratio of the transmitted signal at the same time.

Discrete Fourier transform spread orthogonal time frequency space modulation method

Apparatuses for computing are disclosed herein. An apparatus may include a set of data reduction modules to perform data reduction operations on sets of (key, value) data pairs to reduce an amount of values associated with a shared key, wherein the (key, value) data pairs are stored in a plurality of queues located in a plurality of solid state drives remote from the apparatus. The apparatus may further include a memory access module, communicably coupled to the set of data reduction modules, to directly transfer individual ones of the sets of queued (key, value) data pairs from the plurality of remote solid state drives through remote random access of the solid state drives, via a network, without using intermediate staging storage. Other embodiments may be disclosed or claimed.

Networked shuffle storage

Growing community of inventors

Shanghai, China

Chong Han