• No results found

[PDF] Top 20 OpenCL for programming shared memory multicore CPUs

Has 10000 "OpenCL for programming shared memory multicore CPUs" found on our website. Below are the top 20 most common "OpenCL for programming shared memory multicore CPUs".

OpenCL for programming shared memory multicore CPUs

OpenCL for programming shared memory multicore CPUs

... Intel CPUs, the Intel platform outperformed AMD in four out of five tested ...Intel’s OpenCL has better implicit opti- mizations for Intel CPUs. OpenCL code written for CPUs could ... See full document

12

OVERVIEW OF MULTICORE, PARALLEL COMPUTING, AND DATA MINING

OVERVIEW OF MULTICORE, PARALLEL COMPUTING, AND DATA MINING

... access data in a diff. Long transmission time.. PARALLEL PROGRAMMING MODEL.  Shared-Memory Programming model[r] ... See full document

30

Lapedo : hybrid skeletons for programming heterogeneous multicore machines in Erlang

Lapedo : hybrid skeletons for programming heterogeneous multicore machines in Erlang

... traditional CPUs, accelerators usually offer higher-performance (in terms of ...the OpenCL programming model, which is supported by other types of accelerators (such as FPGAs), our work is also ... See full document

10

Programming Models for Reconfigurable Application Accelerators

Programming Models for Reconfigurable Application Accelerators

... the CPUs would re- main a bottleneck but the impact of this will lessen as CPU and interconnect technology ...and shared memory are limited only by interconnect ... See full document

7

OpenCL Programming for the CUDA Architecture. Version 2.3

OpenCL Programming for the CUDA Architecture. Version 2.3

... high memory throughput as well. For this reason, GPUs offer higher memory bandwidth than CPUs – typically an order of magnitude higher – and several specialized memory types that OpenCL ... See full document

23

FPGA-Based Acceleration of Expectation Maximization Algorithm using High Level Synthesis

FPGA-Based Acceleration of Expectation Maximization Algorithm using High Level Synthesis

... multi-core CPUs were for HPC. Because of ease of programming, data and instruction parallelism and high throughput general purpose GPU is widely used for ...like memory organization and interconnect ... See full document

95

A multicore numerical framework for assessing the permeability of reservoir rocks

A multicore numerical framework for assessing the permeability of reservoir rocks

... with shared-memory, multicore parallel processing to increase the flexibility and scalability of ...parallel programming model exploits the large memory as well as the low latency of ... See full document

6

High-level Multicore Programming with C++11

High-level Multicore Programming with C++11

... The core of our implementation is the parallel compose functor adaptor. Its constructor receives two unary functors that are playing role on a functor composition. Then it wraps the second argument by a thread wrapper ... See full document

16

Concurrent Operations of O2-Tree on Shared Memory Multicore Architectures

Concurrent Operations of O2-Tree on Shared Memory Multicore Architectures

... transactional memory (STM) provides a generic implementation of optimistic concurrency ...groups shared- memory operations into transactions that appear to succeed or fail ...parallel ... See full document

18

Co processing SPMD Computation on GPUs and CPUs on Shared Memory System

Co processing SPMD Computation on GPUs and CPUs on Shared Memory System

... and OpenCL claim to translate source code into binaries run on CPUs and ...on CPUs and GPUs ...the CPUs and GPUs ...the programming model on ...arrange memory access ...MapReduce ... See full document

13

PARALLEL CLUSTERING AND DIMENSIONAL SCALING ON MULTICORE SYSTEMS

PARALLEL CLUSTERING AND DIMENSIONAL SCALING ON MULTICORE SYSTEMS

... our multicore implementations with traditional parallel programming, we see that we are using essentially the same programming model with domain decomposition breaking up the application into ... See full document

7

Current Trends in Parallel Computing

Current Trends in Parallel Computing

... Super computing has extremely high execution rate and extremely high I/O throughput. It needs very large primary and secondary memory. So the cost and the time are the two crucial factors for producing super ... See full document

7

Insights on Memory Controller Scaling for Multicore Embedded Systems

Insights on Memory Controller Scaling for Multicore Embedded Systems

... As to guarantee pressure on the memory system in the CPU address space, we have utilized an OOO embedded core. The CPU processor modeled follows a clustered architecture, where we have one core per L2 slice, i.e., ... See full document

9

Cisco UCS vcenter Plug-in Quick Start Guide April, 2013

Cisco UCS vcenter Plug-in Quick Start Guide April, 2013

... o Displays servers with name, model, vendor, association, overall status,. number of CPUs, number of cores and total memory information[r] ... See full document

8

Dynamic Non Decaying ABRIP for Shared  Level 3 Cache Memory Systems

Dynamic Non Decaying ABRIP for Shared Level 3 Cache Memory Systems

... Whenever data needs to fetched from the main memory to the LLC, the amount of cycles the operation consumes is very high. Hence there is a need to improve the utilization of LLC in CMP’s for both homogenous and ... See full document

7

A parallel version of the in close algorithm

A parallel version of the in close algorithm

... of memory allocated at the start of the program to capture the extents and intents ...In shared memory programming care should be taken to avoid data ...same memory location ... See full document

6

Shared Memory Multiprocessor

Shared Memory Multiprocessor

... that memory controller (MMC) oc- cupancy has a greater impact on barrier performance than network latency for medium-sized DSM multi processors ...particular memory controller in negligible time does not ... See full document

6

A Parallel Recursive Approach for Solving All          Pairs Shortest Path Problem on GPU using
          OpenCL

A Parallel Recursive Approach for Solving All Pairs Shortest Path Problem on GPU using OpenCL

... framework OpenCL which provides a development environment for utilizing massive parallel capabilities of Multi core CPU and Many-Core-Processors such as Graphics Processing Unit ...algorithm, shared ... See full document

7

Reproducing Photonic Radio-Frequency Memory Based on Multicore Fibers

Reproducing Photonic Radio-Frequency Memory Based on Multicore Fibers

... radio-frequency memory (DRFM): it cannot provide multiple replicas of a single input radio frequency (RF) signal (or memory), which is a concern for a number of very important radar test and evaluation ... See full document

10

Parallel Data Mining on Multicore Systems

Parallel Data Mining on Multicore Systems

... In figs. 5, 6 and 7 we isolate the kernel of the DA clustering algorithm of section 3 and examine its performance as a function of grain size n, number of clusters and number of cores. We measure thread dependence at ... See full document

16

Show all 10000 documents...