144 results about "Cpu architecture" patented technology

The present invention provides a method and system for capturing the call stack of a currently-running thread at the time a profiler interrupt occurs. The thread context of the thread is determined before a full push of the thread context is performed by the CPU architecture. The hardware state at the time of the interrupt is used to aid in determining which portions of memory to search for portions of the thread context. Based on the hardware state and the software state of the thread at the time of the interrupt the thread context is captured. Code may also be injected into a thread to capture a thread's call stack. The state of the thread is altered to induce the thread to invoke the kernel's call stack API itself, using its own context.

An apparatus and method for preventing information leakage attacks that utilize timeline alignment. The apparatus and method inserts a random number of instructions into an encryption algorithm such that the leaked information can not be aligned in time to allow an attacker to break the encryption.

The computational efficiency of Finite Element Methods (FEM) on parallel architectures is typically severely limited by sparse iterative solvers. Standard iterative solvers are based on sequential steps of global algebraic operations, which limit their parallel efficiency, and prior art techniques exploit sophisticated programming techniques tailored to specific CPU architectures to improve performance. The inventors present a FEM Multigrid Gaussian Belief Propagation (FMGaBP) technique that eliminates global algebraic operations and sparse data-structures based upon reformulating the variational FEM into a probabilistic inference problem based upon graphical models. Further, the inventors present new formulations for FMGaBP, which further enhance its computation and communication complexities where the parallel features of FMGaBP are leveraged to multicore architectures.

The present invention relates to an electronic device comprising a first CPU, a second CPU, a first delay stage and a second delay stage for delaying data propagating on a bus, a CPU compare unit, and wherein the first delay stage is coupled to an output of the first CPU and a first input of the CPU compare unit, an input of the first CPU is coupled to a system input bus, the second delay stage is coupled to the system input bus and to an input of the second CPU, an output of the second CPU (CPU2) is coupled to the CPU compare unit, and wherein the first CPU and the second CPU are adapted to execute the same program code and the CPU compare unit is adapted to compare an output signal of the first delay stage, which is a delayed output signal of the first CPU, with an output signal of the second CPU. In one embodiment, the present invention relates to a method for lock-step comparison of CPU outputs of an electronic device, in particular a microcontroller, having a dual CPU architecture, the method comprising executing the same program code on a first CPU and a second CPU in response to data provided via a system input bus, delaying an output data of the first CPU by a predetermined first delay to receive a delayed output data, delaying the data to be input to the second CPU by a predetermined second delay, and comparing the output data of the second CPU with the delayed output data of the first CPU.

The invention relates to a double CPU architecture intelligent mobile phone and the communication control method thereof. According to the technology, AP and CP are in sleep state in most time during stand-by process; when a user only operates AP, CP is also in sleep state; when the user needs to operate CP, AP actively wakeups CP to transmit data; when URC is reported to CP, AP is waken up to transmit data; when accidental restart occurs during CP operation, AP is firstly waken up, then a 100 to 200ms fall edge interrupt is generated at ION pin to notify AP of reinitializing CP and entering MUX mode. According to the invention, not only stable communication is realized, but also the power consumption is reduced to minimum.

An inter-OS control software for switching OS's in operation executed on a single CPU is installed, and plural OS's are made alternately executed. A control program is executed exclusively on one OS, which controls the controlled apparatus. A supervisory control program and a development environment program are executed on another OS, and a memory space is divided so as to make no effect for the operation of the control program. A higher real-time performance and reliability can be established with a single CPU architecture.

The invention discloses a dynamic load balancing method for CPU+GPU CPPC. The method mainly comprises the steps that in a single node, a main thread processes input parameters and finishes the corresponding initialization operation, 1+N computing equipment control threads are established, CPU devices and N GPU devices in the node are respectively controlled, a CPU control thread establishes a plurality of parallel computing threads according to the computing nuclear number in the node, a dynamic load balancing scheme is adopted between the CPU devices and the GPU devices, and optimization of the parallel efficiency is achieved. The number of enabled GPU calculating devices and the number of CPU computing threads can be manually allocated according to the user demand. According to the dynamic load balancing method, a pure CPU architecture platform and a CPU+GPU mixed architecture framework platform are combined in the load balancing scheme, a work station system with the various different types of GPU devices is supported, and the platform adaptability, the parallel efficiency and the overall running performance of software are greatly improved.

A disk drive is described which includes means for executing distributed computing tasks including a CPU and associated memory. The communication interface with the host computer is modified to allow the host computer to send executable code for a task to the drive and to allow the drive to communicate the results and status information about the task to the host computer. In a preferred embodiment the disk drive has a task control program, task program code, task data and status information for the distributed task. In alternative embodiments, the disk drive can communicate with other similar disk drives in the bus to provide the results of computation to the other processors. The RAM memory, and mass storage are intimately connected through the associated hard disk controller such that the exact location of the required data and program instructions are known.

Methods and systems for agile load balancing include detecting an increased load for a first primary virtual machine (VM) on a first node that has a plurality of additional primary VMs running on a processor; deactivating one or more of the additional primary VMs, reducing said one or more deactivated VMs to a secondary state, to free resources at the first node for the first primary VM; and activating secondary VMs, located at one or more additional nodes, that correspond to the one or more deactivated VMs, raising said secondary VMs to a primary state. Activation and deactivation through micro-checkpointing may involve nodes of different CPU architectures during transient periods of peak load.

Aspects are directed to a start-up or recovery method and a central processing unit (CPU) architecture. In one example, the CPU architecture includes read-only memory (ROM) storing instructions addressable by a first range of physical memory addresses, random access memory (RAM), a direct memory access (DMA) engine, the DMA engine controllable to transfer the instructions from the ROM to RAM, the instructions addressable by a second range of physical memory addresses at the RAM, a memory management unit configured to translate a range of virtual addresses to the first range while in ROM, and translate the range of virtual memory addresses to the second range while in RAM, and a CPU to execute a DMA interrupt service routine to update the memory management unit to translate the range of virtual addresses to the second range of physical memory addresses while the DMA engine transfers the instructions to RAM.

The invention discloses an efficient dynamic load balancing system and method for processing large-scale data, and belongs to the technical field of processing the large-scale data. The efficient dynamic load balancing system structurally comprises a central control system, a computing cluster system, a storage system and a high-speed network. A CPU and GPU mixed heterogeneous architecture is adopted in a middle node of the central control system; a CPU and GPU mixed heterogeneous architecture is adopted in middle nodes of the computing cluster system, or a CPU architecture is adopted in nodes of the computing cluster system; the storage system is divided into a shared storage and a local storage, a CPU architecture is adopted in middle nodes of the shared storage, and the local storage is used for storing data of nodes of the central control system or the nodes of the computing cluster system; the high-speed network is used for connecting the middle node of the central control system, the middle nodes of the computing cluster system and the middle nodes of the shared storage to form the centralized system for processing the large-scale data. The problem that a current server computing system is insufficient in network bandwidth and small in storage capacity and therefore cannot process the large-scale data is solved.

The invention discloses a method for operating a multi-CPU (Central Processing Unit) architecture service in Kubernetes. The method specifically comprises the following steps: S1, a Kubernetes component is supported and deployed on an AMD64 architecture by default; s2, according to a CPU architecture which is deployed in a Kubernetes cluster and is to be adapted to a service, establishing a service cluster, a container mirror image of ARM64 and a container mirror image of AMD64 are manufactured respectively. S3, customizing the name of the server mirror image by the container cloud platform according to a specified format; s4, according to the mirror image name and the adaptive CPU architecture type, obtaining a mirror image; the method comprises the steps of S1, establishing a containercloud platform, S2, establishing a container mirror image database integrated with the container cloud platform, S3, establishing a container mirror image database integrated with the container cloudplatform, S4, establishing a Docker manifest file, and pushing the Docker manifest file to the container mirror image database integrated with the container cloud platform, and S5, carrying out container mirror image management on a multi-CPU architecture through a container cloud platform mirror image management function. According to the method for operating the multi-CPU architecture service inthe Kubernetes, the multi-CPU architecture service is operated in the Kubernetes; according to the technical scheme, the requirement for daily use can be met through improvement, the effect of supporting management of multiple CPU architecture hosts in the Kubernetes cluster is achieved, and therefore the Linux containers of the corresponding CPU architectures can be operated on the correspondinghosts.

The invention discloses a method for realizing cross compiling of a Docker mirror image. The method specifically comprises the following steps: S1, installing a qemu-user-static service program on a Docker mirror image cross compiling environment system, s2, checking whether a binfmt _ misc in the Linux system registers a corresponding simulator configuration or not; s3, determining the CPU architecture type of the Docker mirror image needing cross compiling, s4, a Docker file for constructing a Docker mirror image is compiled; docker mirror images of different target CPU frameworks are constructed by using the same Docker file, and the Docker mirror images of different target CPU frameworks are constructed by using the same Docker file. And S5, determining whether the generated Docker mirror image is the mirror image of the target CPU architecture or not by checking the identifier in the generated Docker mirror image. The invention relates to the technical field of computer programs.According to the method for realizing Docker mirror image cross compilation, when the application compilation environment is started, the difference of underlying hardware facilities can be completelyshielded, and the problem of cross-platform cross compilation is solved, so that the problem caused by the difference of underlying hardware can also be shielded while the application cross compilation environment is rapidly started.

In order to gather, store temporarily and efficiently deliver safestore information in a CPU having data manipulation circuitry including a register bank, first and second serially oriented safestore buffers are employed. At suitable times during the processing of information, a copy of the instantaneous contents of the register bank is transferred into the first safestore buffer. After a brief delay, a copy of the first safestore buffer is transferred into the second safestore buffer. If a call for a domain change (which might include a process change or a fault) is sensed, a safestore frame is sent to cache, and the first safestore buffer is loaded from he second safestore buffer rather than from the register bank. Later, during a climb operation, if a restart of the interrupted process is undertaken and the restoration of the register bank is directed to be taken from the first safestore buffer, this source, rather than the safestore frame stored in cache, is employed to obtain a corresponding increase in the rate of restart. In one embodiment, the transfer of information between the register bank and the safestore buffers is carried out on a bit-by-bit basis to achieve additional flexibility of operation and also to conserve integrated circuit space.

The invention discloses a simulator detection method and system, and belongs to the technical field of computers. The method comprises the steps that an SDK assembly obtains a plurality of preset parameters from a running environment of a mobile APP running on a terminal and detects the preset parameters respectively, wherein the preset parameters comprise CPU architecture information, software parameters and hardware parameters; the SDK assembly obtains detection results corresponding to the prediction parameters according to detection and uploads the detection results to the server; the server performs weighted calculation on all the detection results according to a preset weight model in combination with weights corresponding to a plurality of preset parameters to obtain a weighted calculation result; and the server judges whether the terminal is a simulator terminal or not according to the weighted calculation result. Whether a mobile APP runs in the running environment provided bythe simulator or not can be effectively detected, so that network malicious behaviors in the mobile APP are prevented.

An n architecture for implementing an instruction pipeline within a CPU comprises an arithmetic logic unit (ALU), an address arithmetic unit (AAU), a program counter (PC), a read-only memory (ROM) coupled to the program counter, to an instruction register, and to an instruction decoder coupled to the arithmetic logic unit. A random access memory (RAM) is coupled to the instruction decoder, to the arithmetic logic unit, and to a RAM address register.

The invention provides a cluster deployment method and device of a multi-CPU architecture. The method comprises the following steps: constructing a code warehouse, and storing source codes of clustercomponents of different CPU architectures in the code warehouse; compiling corresponding mirror image files according to the source codes of the cluster components of different CPU architectures, andstoring the compiled mirror image files in a mirror image warehouse; compiling a cluster deployment script suitable for the multi-CPU architecture, and storing the script in a code warehouse; in response to a received instruction of deploying the cluster, obtaining and running a corresponding script from the code warehouse based on the CPU architecture, so as to call a corresponding program from the code warehouse and the mirror image warehouse to execute cluster deployment of the current CPU architecture. By using the scheme provided by the invention, the deployment exception or failure caused by personnel errors during deployment in different CPU architecture environments can be greatly reduced; the method has the advantages of one-time configuration and multiple reuse, shortening of thedeployment time consumption and improvement of the deployment efficiency.

Memory testing at system startup, such as boot POST, of an information handling system is accelerated by adjusting memory testing routines to use instructions that take advantage of optimizations made to information handling system and CPU architectures. For instance, memory test iterations in one Mbyte portions using 128-bit SIMD registers, 64-bit MMX registers, ADD and SUB instructions, the MOVNTDQ instruction, and relying on an initial setting of the gate A20 and protected mode result in a substantially accelerated memory test.