公开(公告)号：US08379618B2

公开(公告)日：2013-02-19

申请号：US13267279

申请日：2011-10-06

Applicant: Mohammad Ali Khojastepour

Inventor： Mohammad Ali Khojastepour

IPC: H04J1/00

CPC classification number: H04B7/0632 ,  H04B7/043 ,  H04B7/0456 ,  H04B7/0478 ,  H04B7/0617 ,  H04B7/0639

Abstract: Methods and apparatus are disclosed for applying successive multi-rank beamforming strategies (e.g., successive precoding strategies) for the design of precoders over a set of parallel channels. Successive beamforming is applied to a narrow band channel model and is also applied for finer quantization of a single beamforming vector (e.g., recursive beamforming). A first embodiment provides the optimal approach with high complexity. An alternative embodiment provides successive beamforming for near optimal precoding selection with medium complexity. A low complexity method for precoder selection is also provided wherein a channel representative matrix for the set of parallel channels is determined and successive beamforming on the calculated channel representative is applied.

Abstract translation: 公开了用于在一组并行通道上设计预编码器的连续多级波束形成策略（例如，连续预编码策略）的方法和装置。 连续波束成形被应用于窄带信道模型，并且还被应用于单个波束成形向量（例如，递归波束成形）的更精细量化。 第一实施例提供了高复杂度的最佳方法。 替代实施例提供连续的波束成形用于具有中等复杂度的近最优预编码选择。 还提供了一种用于预编码器选择的低复杂度方法，其中确定用于该组并行信道的信道代表性矩阵，并且应用所计算的信道代表上的连续波束成形。

公开(公告)号：US20130039335A1

公开(公告)日：2013-02-14

申请号：US13650433

申请日：2012-10-12

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： Karthikeyan Sundaresan ,  Sampath Rangarajan

IPC: H04W72/04

CPC classification number: H04W72/04 ,  H04L5/0023 ,  H04W72/042 ,  H04W72/0486 ,  H04W84/045

Abstract: Methods and systems for reusing macro cell resources in femto cell base stations or relay stations in a non-collaborative manner are disclosed. In addition, orthogonal resource allocation between a macro cell base station and femto cell base stations/relay stations may be dynamically adjusted by considering user-population variance. Moreover, an additional level of spatial reuse by femto cell base stations or relay stations can be provided by employing macro cell user location information.

Abstract translation: 公开了以非协作方式在毫微微小区基站或中继站中重用宏小区资源的方法和系统。 此外，可以通过考虑用户群体方差来动态地调整宏小区基站和毫微微小区基站/中继站之间的正交资源分配。 此外，可以通过使用宏小区用户位置信息来提供毫微微小区基站或中继站的附加级别的空间重用。

公开(公告)号：US08375392B2

公开(公告)日：2013-02-12

申请号：US12860694

申请日：2010-08-20

Applicant: Michela Becchi ,  Surendra Byna ,  Srihari Cadambi ,  Srimat Chakradhar

Inventor： Michela Becchi ,  Surendra Byna ,  Srihari Cadambi ,  Srimat Chakradhar

IPC: G06F9/46

CPC classification number: G06F9/5044

Abstract: Systems and method for data-aware scheduling of applications on a heterogeneous platform having at least one central processing unit (CPU) and at least one accelerator. Such systems and methods include a function call handling module configured to intercept, analyze, and schedule library calls on a processing element. The function call handling module further includes a function call interception module configured to intercept function calls to predefined libraries, a function call analysis module configured to analyze argument size and location, and a function call redirection module configured to schedule library calls and data transfers. The systems and methods also use a memory unification module, configured to keep data coherent between memories associated with the at least one CPU and the at least one accelerator based on the output of the function call redirection module.

Abstract translation: 用于具有至少一个中央处理单元（CPU）和至少一个加速器的异构平台上的应用的数据感知调度的系统和方法。 这样的系统和方法包括功能调用处理模块，其被配置为在处理元件上截取，分析和调度库调用。 所述功能调用处理模块还包括功能调用拦截模块，被配置为拦截对预定义库的函数调用，被配置为分析参数大小和位置的函数调用分析模块以及被配置为调度库调用和数据传输的函数调用重定向模块。 系统和方法还使用存储器统一模块，其被配置为基于功能呼叫重定向模块的输出，在与至少一个CPU和至少一个加速器相关联的存储器之间保持数据一致。

公开(公告)号：US08374840B2

公开(公告)日：2013-02-12

申请号：US12578855

申请日：2009-10-14

Applicant: Sriram Sankaranarayanan ,  Franjo Ivancic ,  Aarti Gupta ,  Truong X. Nghiem

Inventor： Sriram Sankaranarayanan ,  Franjo Ivancic ,  Aarti Gupta ,  Truong X. Nghiem

IPC: G06G7/62

CPC classification number: G01R31/318357

Abstract: A system and method for generating test vectors includes generating traces of a system model or program stored in memory using a simulation engine. Simulated inputs are globally optimized using a fitness objective computed using a computer processing device. The simulation inputs are adjusted in accordance with feedback from the traces and fitness objective values by computing a distance between the fitness objective value and a reachability objective. Test input vectors are output based upon optimized fitness objective values associated with the simulated inputs to test the system model or program stored in memory.

Abstract translation: 用于生成测试向量的系统和方法包括使用模拟引擎生成存储在存储器中的系统模型或程序的轨迹。 使用计算机处理设备计算的健身目标，全局优化模拟输入。 通过计算健身目标值与可达性目标之间的距离，根据跟踪和健身目标值的反馈来调整模拟输入。 基于与模拟输入相关联的优化的适应度目标值输出测试输入向量，以测试存储在存储器中的系统模型或程序。

公开(公告)号：US20130034304A1

公开(公告)日：2013-02-07

申请号：US13564437

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/46

CPC classification number: G06K9/00979

Abstract: Methods and systems for digital pathology with low-latency analytics include determining potential regions of interest within an image in accordance with one or more high-priority analyses, dividing the potential regions of interest into a plurality of sub-sections optimized for parallel computation, analyzing the sub-sections using one or more execution nodes, each including one or more processors, using a copy of the image stored in a shared memory according to the one or more high-priority analyses, and storing an intermediate analysis result based on analysis results from the one or more execution nodes in a shared memory.

Abstract translation: 具有低延迟分析的数字病理学方法和系统包括根据一个或多个高优先级分析来确定图像内的感兴趣区域，将感兴趣的潜在区域划分为针对并行计算优化的多个子部分，分析 使用根据所述一个或多个高优先级分析的存储在共享存储器中的图像的副本的每个包括一个或多个处理器的一个或多个执行节点的子部分，以及基于分析结果存储中间分析结果 来自共享存储器中的一个或多个执行节点。

公开(公告)号：US20130034301A1

公开(公告)日：2013-02-07

申请号：US13564418

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/34

CPC classification number: G06K9/00979

Abstract: Methods and systems for interactive image analysis include receiving a selection of a region of an image and a request for analysis of the selection at an interface layer, transferring the selection and the request to an interpretation layer for analysis, dividing the selected region of the image into a plurality of sub-sections optimized for parallel computation to provide an analysis result that minimizes perceptible delay between receiving the request and receipt of results, analyzing the sub-sections using one or more execution nodes using a copy of the image stored in a shared memory, and providing combined analysis results to the interface layer for display.

Abstract translation: 用于交互式图像分析的方法和系统包括接收图像的区域的选择和在界面层处的分析选择的请求，将选择和请求传送到用于分析的解释层，分割图像的所选区域 分成针对并行计算优化的多个子部分，以提供最小化接收到请求和接收结果之间的可感知延迟的分析结果，使用一个或多个执行节点使用存储在共享中的图像的副本来分析子部分 内存，并提供组合分析结果到界面层进行显示。

公开(公告)号：US20130034176A1

公开(公告)日：2013-02-07

申请号：US13650477

申请日：2012-10-12

Applicant: NEC Laboratories America, Inc.

Inventor： Ali Tajer ,  Narayan Prasad ,  Xiaodong Wang ,  Sampath Rangarajan

IPC: H04W4/00

CPC classification number: H04B7/0626 ,  H04B7/022

Abstract: Methods and systems for optimizing the utilities of receiver devices in a wireless communication network are disclosed. Precoder design formulations that maximize a minimum worst-case rate or a worst-case sum rate are described for both full base station cooperation and limited base station cooperation scenarios. In addition, optimal equalizers are also selected to optimize the worst-case sum rate.

Abstract translation: 公开了用于优化无线通信网络中的接收机设备的实用性的方法和系统。 对于完整的基站合作和有限的基站合作情况，都会描述使最小最坏情况速率或最差情况下的总速率最大化的预编码器设计公式。 此外，还选择最佳均衡器来优化最差情况下的和速率。

公开(公告)号：US08359578B2

公开(公告)日：2013-01-22

申请号：US12571476

申请日：2009-10-01

Applicant: Chao Wang ,  Aarti Gupta ,  Swarat Chaudhuri ,  Yu Yang

Inventor： Chao Wang ,  Aarti Gupta ,  Swarat Chaudhuri ,  Yu Yang

IPC: G06F9/44

CPC classification number: G06F11/3612 ,  G06F11/3624 ,  G06F11/3636

Abstract: A computer implemented method for the verification of concurrent software programs wherein the concurrent software program is partitioned into subsets named concurrent trace programs (CTPs) and each of the CTPs is evaluated using a satisfiability-based (SAT) symbolic analysis. By applying the SAT analysis to individual CTPs in isolation the symbolic analysis is advantageously more scalable and efficient.

Abstract translation: 一种用于验证并发软件程序的计算机实现方法，其中并发软件程序被划分为称为并发跟踪程序（CTP）的子集，并且使用基于可满足性（SAT）符号分析来评估每个CTP。 通过将SAT分析应用于独立的CTP，符号分析有利地更具可扩展性和高效性。

公开(公告)号：US08359281B2

公开(公告)日：2013-01-22

申请号：US12478073

申请日：2009-06-04

Applicant: Srihari Cadambi ,  Igor Durdanovic ,  Venkata Jakkula ,  Eric Cosatto ,  Murugan Sankaradass ,  Hans Peter Graf ,  Srimat T. Chakradhar

Inventor： Srihari Cadambi ,  Igor Durdanovic ,  Venkata Jakkula ,  Eric Cosatto ,  Murugan Sankaradass ,  Hans Peter Graf ,  Srimat T. Chakradhar

IPC: G06F15/18

CPC classification number: G06N99/005

Abstract: A method system for training an apparatus to recognize a pattern includes providing the apparatus with a host processor executing steps of a machine learning process; providing the apparatus with an accelerator including at least two processors; inputting training pattern data into the host processor; determining coefficient changes in the machine learning process with the host processor using the training pattern data; transferring the training data to the accelerator; determining kernel dot-products with the at least two processors of the accelerator using the training data; and transferring the dot-products back to the host processor.

Abstract translation: 用于训练识别模式的装置的方法系统包括向所述装置提供执行机器学习过程的步骤的主机处理器; 向所述设备提供包括至少两个处理器的加速器; 将训练模式数据输入到主处理器中; 使用所述训练模式数据来确定主处理器在机器学习过程中的系数变化; 将训练数据传送到加速器; 使用所述训练数据确定具有所述加速器的所述至少两个处理器的内核点产品; 并将点产品传送回主机处理器。

公开(公告)号：US08351948B2

公开(公告)日：2013-01-08

申请号：US13037445

申请日：2011-03-01

Applicant: Ravindranath Kokku ,  Rajesh Mahindra ,  Honghai Zhang ,  Sampath Rangarajan

Inventor： Ravindranath Kokku ,  Rajesh Mahindra ,  Honghai Zhang ,  Sampath Rangarajan

IPC: H04W40/00

CPC classification number: H04W72/0433 ,  H04L47/564 ,  H04W28/02 ,  H04W88/08

Abstract: A method for customizable flow management in a cellular basestation including configuring a framework on a cellular basestation; and executing customized flow management functions through the framework by an external entity.

Abstract translation: 一种在蜂窝基站中定制流量管理的方法，包括在蜂窝基站上配置框架; 并通过外部实体通过框架执行定制的流程管理功能。