Nvidia Corporation

Texas Instruments Corporation

Vaishali Kulkarni

Naveen Cherukuri

Adam Hendrickson

Gobikrishna Dhanuskodi

Wish Gandhi

Raymond Wong

Nirmal Raj Saxena

Steven James Heinrich

Peter C Mills

Manan Patel

Liang Yin

Gentaro Hirota

Praveen Joginipally

Linda L Hurd

Sandeep Navada

David Charles Patrick

Saurabh Hukerikar

Abhijeet Ghadge

Anuj Rao

Paul Racunas

Yiyang Feng

Apparatuses, systems, and techniques for handling faults by a direct memory access (DMA) engine. When a DMA engine detects an error associated with an encryption or decryption operation, the DMA engine reports the error to a CPU, which may be executing an untrusted software directing a DMA operation, and the secure processor. The DMA engine waits for clearance from the secure processor before responding to further directions from the potentially untrusted software.

Protecting against resets by untrusted software during cryptographic operations

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 partial transfers using a context for a period of time (e.g., a timeslice) for an application. The CE stores in a secure memory for the application one or more data for encryption or decryption (e.g., a hash key, a block counter, etc.) computed from a last partial transfer. The one or more data for encryption or decryption are retrieved and used when data transfers for the application is resumed by the CE.

Fairly utilizing multiple contexts sharing cryptographic hardware

Various embodiments include a parallel processing computer system that detects memory errors as a memory client loads data from memory and disables the memory client from storing data to memory, thereby reducing the likelihood that the memory error propagates to other memory clients. The memory client initiates a stall sequence, while other memory clients continue to execute instructions and the memory continues to service memory load and store operations. When a memory error is detected, a specific bit pattern is stored in conjunction with the data associated with the memory error. When the data is copied from one memory to another memory, the specific bit pattern is also copied, in order to identify the data as having a memory error.

Error containment for enabling local checkpoint and recovery

The subject application relates to computing an authentication tag for partial transfers scheduled across multiple direct memory access (DMA) engines. Apparatuses, systems, and techniques are described for computing an authentication tag for a data transfer when the data transfer is scheduled as partial transfers across a specified number of direct memory access (DMA) engines. An orchestration circuit stores partial authentication tags, computed by the DMA engines, and corresponding adjustment exponents during one or more rounds in which the partial transfers are scheduled and processed by the specified number of DMA engines. During a last round, a combined authentication tag can be computed based on the partial authentication tags and the corresponding adjustment exponents stored by the orchestration circuit during the rounds.

Computing an authentication tag for partial transfers scheduled across multiple direct memory access (DMA) engines

A method of providing a programmer with a visualization of power usage. The method is especially suitable for integration within a debugging process (FIG. ). A windows-type display ( ) displays sections of computer code ( ), as well as numerical values representing power usage ( ). Next to each section of code, some sort of visual representation of power usage is displayed, such as a bar of a bar graph ( ). Alternatively, the code can be highlighted if power usage exceeds a given threshold, or comments can be provided next to the code for optimizing power usage.

Graphics user interface for power optimization diagnostics

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Sunnyvale, CA, United States of America

Vaishali Kulkarni