Patent application number | Description | Published |
20100118041 | Shared virtual memory - Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings. | 05-13-2010 |
20100122264 | Language level support for shared virtual memory - Embodiments of the invention provide language support for CPU-GPU platforms. In one embodiment, code can be flexibly executed on both the CPU and GPU. CPU code can offload a kernel to the GPU. That kernel may in turn call preexisting libraries on the CPU, or make other calls into CPU functions. This allows an application to be built without requiring the entire call chain to be recompiled. Additionally, in one embodiment data may be shared seamlessly between CPU and GPU. This includes sharing objects that may have virtual functions. Embodiments thus ensure the right virtual function gets invoked on the CPU or the GPU if a virtual function is called by either the CPU or GPU. | 05-13-2010 |
20110153957 | SHARING VIRTUAL MEMORY-BASED MULTI-VERSION DATA BETWEEN THE HETEROGENOUS PROCESSORS OF A COMPUTER PLATFORM - A computer system may comprise a computer platform and input-output devices. The computer platform may include a plurality of heterogeneous processors comprising a central processing unit (CPU) and a graphics processing unit) GPU and a shared virtual memory supported by a physical private memory space of at least one heterogeneous processor or a physical shared memory shared by the heterogeneous processor. The CPU (producer) may create shared multi-version data and store such shared multi-version data in the physical private memory space or the physical shared memory. The GPU (consumer) may acquire or access the shared multi-version data. | 06-23-2011 |
20120023296 | Recording Dirty Information in Software Distributed Shared Memory Systems - A page table entry dirty bit system may be utilized to record dirty information for a software distributed shared memory system. In some embodiments, this may improve performance without substantially increasing overhead because the dirty bit recording system is already available in certain processors. By providing extra bits, coherence can be obtained with respect to all the other uses of the existing page table entry dirty bits. | 01-26-2012 |
20120210551 | VERTICAL TURNING-MILLING COMPLEX MACHINING CENTER - A vertical turning-milling complex machining center comprises a horizontally-arranged bed body ( | 08-23-2012 |
20130173894 | SHARING VIRTUAL FUNCTIONS IN A SHARED VIRTUAL MEMORY BETWEEN HETEROGENEOUS PROCESSORS OF A COMPUTING PLATFORM - A computing platform may include heterogeneous processors (e.g., CPU and a GPU) to support sharing of virtual functions between such processors. In one embodiment, a CPU side vtable pointer used to access a shared object from the CPU | 07-04-2013 |
20130187936 | Language Level Support for Shared Virtual Memory - Embodiments of the invention provide language support for CPU-GPU platforms. In one embodiment, code can be flexibly executed on both the CPU and GPU. CPU code can offload a kernel to the GPU. That kernel may in turn call preexisting libraries on the CPU, or make other calls into CPU functions. This allows an application to be built without requiring the entire call chain to be recompiled. Additionally, in one embodiment data may be shared seamlessly between CPU and GPU. This includes sharing objects that may have virtual functions. Embodiments thus ensure the right virtual function gets invoked on the CPU or the GPU if a virtual function is called by either the CPU or GPU. | 07-25-2013 |
20140049550 | Shared Virtual Memory - Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings. | 02-20-2014 |
20140258643 | METHOD AND SYSTEM FOR MAINTAINING RELEASE CONSISTENCY IN SHARED MEMORY PROGRAMMING - A method and system for maintaining release consistency in shared memory programming on a computing device having multiple processing units includes, in response to a page fault, initiating a transfer, from one processing unit to another, of data associated with more than one but less than all of the pages of shared memory. | 09-11-2014 |
20140304538 | METHOD AND DEVICE FOR PROLONGING SLEEPING TIME OF CPU - This application discloses a method for prolonging sleeping time of CPU. After CPU enters sleeping state, interrupt controller delays reporting deferrable external interrupts to the CPU, with the delay time set or as default. This application also provides a device corresponding to the method. This application can prolong the sleeping time of CPU in all kinds of intelligent electronic devices, and make the CPU enter a deep sleeping mode, thereby reducing power consumption substantially without affecting system performance. | 10-09-2014 |
20140306972 | Language Level Support for Shared Virtual Memory - Embodiments of the invention provide language support for CPU-GPU platforms. In one embodiment, code can be flexibly executed on both the CPU and GPU. CPU code can offload a kernel to the GPU. That kernel may in turn call preexisting libraries on the CPU, or make other calls into CPU functions. This allows an application to be built without requiring the entire call chain to be recompiled. Additionally, in one embodiment data may be shared seamlessly between CPU and GPU. This includes sharing objects that may have virtual functions. Embodiments thus ensure the right virtual function gets invoked on the CPU or the GPU if a virtual function is called by either the CPU or GPU. | 10-16-2014 |
20140375662 | SHARED VIRTUAL MEMORY - Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings. | 12-25-2014 |
20150019825 | SHARING VIRTUAL MEMORY-BASED MULTI-VERSION DATA BETWEEN THE HETEROGENEOUS PROCESSORS OF A COMPUTER PLATFORM - A computer system may comprise a computer platform and input-output devices. The computer platform may include a plurality of heterogeneous processors comprising a central processing unit (CPU) and a graphics processing unit (GPU) and a shared virtual memory supported by a physical private memory space of at least one heterogeneous processor or a physical shared memory shared by the heterogeneous processor. The CPU (producer) may create shared multi-version data and store such shared multi-version data in the physical private memory space or the physical shared memory. The GPU (consumer) may acquire or access the shared multi-version data. | 01-15-2015 |