Intelligent thermosyphon system for datacenter cooling systems
Granted: April 30, 2024
Patent Number:
11974416
Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, one or more flow controllers is associated with a cold plate and with a thermosyphon condenser that is elevated with respect to a cold plate so that two-phase fluid is enabled for gravity-assisted downflow in a liquid phase to a cold plate for absorption of heat and is enabled for buoyancy-driven upflow through a riser tube into a thermosyphon condenser for dissipation of heat of at least one…
Digitally controlled unified receiver for multi-rank system
Granted: April 30, 2024
Patent Number:
11973501
A multi-rank circuit system includes multiple transmitters each switchably coupled to a first end of a shared input/output (IO) channel and a unified receiver coupled to a second end of the shared IO channel. The unified receiver is coupled to apply a preconfigured analog reference voltage to set a differential output of the unified receiver, and further configured to apply a variable digital code to adjust the differential output according to a particular one of the transmitters that is…
Extended through wafer vias for power delivery in face-to-face dies
Granted: April 30, 2024
Patent Number:
11973060
A TSV of a first semiconductor die may extend from a semiconductor substrate of the first semiconductor die through at least one metallization layer of the die to connect to a metallization layer to supply power to the second semiconductor die. By extending the TSV, resistance may be reduced, allowing for enhanced power delivery to the second semiconductor die. Resistance may be further reduced by allowing for the TSV to connect to a thicker metallization layer than would otherwise be…
Representing a neural network utilizing paths within the network to improve a performance of the neural network
Granted: April 30, 2024
Patent Number:
11972354
Artificial neural networks (ANNs) are computing systems that imitate a human brain by learning to perform tasks by considering examples. By representing an artificial neural network utilizing individual paths each connecting an input of the ANN to an output of the ANN, a complexity of the ANN may be reduced, and the ANN may be trained and implemented in a much faster manner when compared to an implementation using fully connected ANN graphs.
Just in time compilation using link time optimization
Granted: April 30, 2024
Patent Number:
11972281
A first intermediate representation of a first portion of a source code implementing an application and a second intermediate representation of a second portion of the source code is received by a processing device. The first intermediate representation and the second intermediate representation is merged, at run-time, into a merged intermediate representation, wherein the first intermediate representation includes a reference to a function in the second intermediate representation. An…
Rail power density aware standard cell placement for integrated circuits
Granted: April 30, 2024
Patent Number:
11972188
To ensure proper operation (e.g., speed and/or function) of standard cells fabricated within an integrated circuit a minimum potential difference between the high and low power supply rails needs to be maintained. IR drop refers to a reduction in the potential difference between the power supply rails and is caused when the switching activity of cells that share a power supply rail is greater than can be provided at a particular time. Before fabrication, placement of the cells is…
Online fault detection in ReRAM-based AI/ML
Granted: April 30, 2024
Patent Number:
11971790
The disclosure describes a method of monitoring the dynamic power consumption of ReRAM crossbars and determines the occurrence of faults when a changepoint is detected in the monitored power-consumption time series. Statistical features are computed before and after the changepoint and train a predictive model using machine-learning techniques. In this way, the computationally expensive fault localization and error-recovery steps are carried out only when a high fault rate is estimated.…
Programmable power balancing in a datacenter
Granted: April 30, 2024
Patent Number:
11971774
A datacenter power management system and method is disclosed. A plurality of computing units are enabled to operate at a second frequency, higher than a first frequency, in response to determining from respective power coefficients for these computing units, that a power level at this higher frequency remains below a power budget.
Multi-rank receiver
Granted: April 23, 2024
Patent Number:
11967396
A multi-rank system includes multiple circuit ranks communicating over a common data line to multiple data receivers, each corresponding to one or more of the ranks and each having a corresponding reference voltage generator and clock timing adjustment circuit, such that a rank to communicate on the shared data line is switched without reconfiguring outputs of either the reference voltage generators or the clock timing adjustment circuits.
Graph neural network for channel decoding
Granted: April 23, 2024
Patent Number:
11968040
Various embodiments and implementations of graph-neural-network (GNN)-based decoding applications are disclosed. The GNN-based decoding schemes are broadly applicable to different coding schemes, and capable of operating on both binary and non-binary codewords, in different implementations. Advantageously, the inventive GNN-based decoding is scalable, even with arbitrary block lengths, and not subject to typical limits with respect to dimensionality. Decoding performance of the inventive…
Safety procedure analysis for obstacle avoidance in autonomous vehicles
Granted: April 23, 2024
Patent Number:
11966228
In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection,…
Extracting triangular 3-D models, materials, and lighting from images
Granted: April 23, 2024
Patent Number:
11967024
A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed…
3D surface structure estimation using neural networks for autonomous systems and applications
Granted: April 23, 2024
Patent Number:
11967022
In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated using a parametric mathematical modeling. A variety of synthetic 3D road surfaces may be generated by modeling a 3D road surface using varied parameters to simulate changes in road direction and lateral surface slope. In an example embodiment, a synthetic 3D road surface may be created by modeling a longitudinal 3D…
Behavior-guided path planning in autonomous machine applications
Granted: April 23, 2024
Patent Number:
11966838
In various examples, a machine learning model—such as a deep neural network (DNN)—may be trained to use image data and/or other sensor data as inputs to generate two-dimensional or three-dimensional trajectory points in world space, a vehicle orientation, and/or a vehicle state. For example, sensor data that represents orientation, steering information, and/or speed of a vehicle may be collected and used to automatically generate a trajectory for use as ground truth data for training…
Deep neural network accelerator with fine-grained parallelism discovery
Granted: April 23, 2024
Patent Number:
11966835
A sparse convolutional neural network accelerator system that dynamically and efficiently identifies fine-grained parallelism in sparse convolution operations. The system determines matching pairs of non-zero input activations and weights from the compacted input activation and weight arrays utilizing a scalable, dynamic parallelism discovery unit (PDU) that performs a parallel search on the input activation array and the weight array to identify reducible input activation and weight…
Memory bandwidth throttling for virtual machines
Granted: April 23, 2024
Patent Number:
11966765
Systems and methods are disclosed for throttling memory bandwidth accessed by virtual machines (VMs). A technique for dynamically throttling the virtual computer processing units (vCPUs) assigned to a VM (tenant) controls the memory access rate of the VM. When the memory is shared by multiple VMs in a cloud-computing environment, one VM increasing its memory access rate may cause another VM to suffer memory access starvation. This behavior violates the principle of VM isolation in cloud…
Robust, efficient multiprocessor-coprocessor interface
Granted: April 23, 2024
Patent Number:
11966737
Systems and methods for an efficient and robust multiprocessor-coprocessor interface that may be used between a streaming multiprocessor and an acceleration coprocessor in a GPU are provided. According to an example implementation, in order to perform an acceleration of a particular operation using the coprocessor, the multiprocessor: issues a series of write instructions to write input data for the operation into coprocessor-accessible storage locations, issues an operation instruction…
Sensor simulation and learning sensor models with generative machine learning methods
Granted: April 23, 2024
Patent Number:
11966673
In various examples, a sensor model may be learned to predict virtual sensor data for a given scene configuration. For example, a sensor model may include a deep neural network that supports generative learning—such as a generative adversarial network (GAN). The sensor model may accept an encoded representation of a scene configuration as an input using any number of data structures and/or channels (e.g., concatenated vectors, matrices, tensors, images, etc.), and may output virtual…
Fairly utilizing multiple contexts sharing cryptographic hardware
Granted: April 23, 2024
Patent Number:
11966480
Apparatuses, systems, and techniques for supporting fairness of multiple context sharing cryptographic hardware. An accelerator circuit includes a copy engine (CE) with AES-GCM hardware configured to perform both encryption and authentication of data transfers for multiple applications or multiple data streams in a single application or belonging to a single user. The CE splits a data transfer of a specified size into a set of partial transfers. The CE sequentially executes the set of…
Reducing coupling and power noise on PAM-4 I/O interface
Granted: April 23, 2024
Patent Number:
11966348
Methods of operating a serial data bus divide series of data bits into sequences of one or more bits and encode the sequences as N-level symbols, which are then transmitted at multiple discrete voltage levels. These methods may be utilized to communicate over serial data lines to improve bandwidth and reduce crosstalk and other sources of noise.
