JCuda is a lightweight library that provides you with Java bindings for the CUDA runtime, allowing you to load your own modules in the driver API.
JCuda is designed to allow interaction between your Java application and the CUDA runtime, featuring interoperability with OpenGL.

JCuda is a lightweight library that provides you with Java bindings for the CUDA runtime.
JCuda is designed to allow interaction between your Java application and the CUDA runtime. JCuda features interoperability with OpenGL, and we plan on adding support for other APIs such as OpenCL when they become available.
Jar file:

Getting JCuda:
Getting the JNI bindings for the CUDA runtime is relatively easy, as shown on the JNI wiki.
$ git clone git://github.com/jnicook/jni4net.git
$ cd jni4net/
$ git submodule update –init
$ ccmake..
$ nmake
$ nmake install
The java API is contained in this jar file.
OpenCV related JNI projects:

License:
MIT
Contact Info:

Cuda/OpenCV integration:

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NoClassDefFoundError with the latest jetty (7.4.5.v20130726)
This is the error I get when I load a JPA EntityManager on the JavaEE7 web container and one of the many entities it loads has the @Id annotation for example. I dont have any persistent classes and the @Id is declared as a private static final long instanceId = 1L; which is a singleton.
java.lang.NoClassDefFoundError: org/hibernate/metamodel/entity/SequenceGenerator
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2362)
at java.lang.Class.getMethod0(Class.java:1989)
at java.lang.Class.getMethod(Class.java:1653)
at org.glassfish.persistence.jpa.Persistence

JCuda is a lightweight library that provides you with Java bindings for the CUDA runtime, allowing you to load your own modules in the driver API.
JCuda is designed to allow interaction between your Java application and the CUDA runtime, featuring interoperability with OpenGL.
Found at

A:

The easy answer is to use OpenGL. If you don’t want to use OpenGL from Java, you can port it to Java.
Since this project was on SourceForge, they have an old link to their project on Sourceforge that has a Java port of OpenGL.

Q:

Reshape long data frame to wide data frame Python pandas

I have a data frame in this format:
ID Quantity
0 F1 2
1 F2 5
2 F3 4
3 F1 3
4 F2 4

And what I want is a data frame like this:
ID Quantity F1 F2 F3 F4 F5
0 F1 2 3 4 3
1 F2 5 4 4
2 F3 4
3 F4
4 F5

How can I do that with Python?

A:

You can use melt:
df1 = df.melt(‘ID’, value_name=’Quantity’)
df2 = df.melt([‘ID’, ‘Quantity’], var_name=’F’)

df2.join(df1, on=[‘ID’,’Variable’])

Result:
ID F1 F2 F3 F4 F5
0 F1 2 3 4 3 4
1 F2 5
02dac1b922

JCuda is a lightweight library that provides you with Java bindings for the CUDA runtime, allowing you to load your own modules in the driver API.
JCuda is designed to allow interaction between your Java application and the CUDA runtime, featuring interoperability with OpenGL.
The following features are supported for the Interop version:
– Module Loading
– CUDA API
– OpenGL

Release Notes
* Released on 2009-11-05.

Release Notes:

Release Notes:
– deprecated the use of the CUDADriver’s nativeDeviceToDeviceCopy() function. You should use directly the nativeCopy() function of the CUDARTypes.h header, avoiding the need to register a new cudaEvent, as it has been done using the old function.
– deprecated the use of the CUDADriver’s cudaEventCreateWithFlags() function. You should use directly the cudaEventCreate() function.

Release Notes:
– deprecated the use of the CUDADriver’s nativeDeviceToDeviceCopy() function. You should use directly the nativeCopy() function of the CUDARTypes.h header, avoiding the need to register a new cudaEvent, as it has been done using the old function.
– deprecated the use of the CUDADriver’s cudaEventCreateWithFlags() function. You should use directly the cudaEventCreate() function.

Release Notes:
– deprecated the use of the CUDADriver’s nativeDeviceToDeviceCopy() function. You should use directly the nativeCopy() function of the CUDARTypes.h header, avoiding the need to register a new cudaEvent, as it has been done using the old function.
– deprecated the use of the CUDADriver’s cudaEventCreateWithFlags() function. You should use directly the cudaEventCreate() function.

Release Notes:
– deprecate the use of the CUDADriver’s nativeDeviceToDeviceCopy() function. You should use directly the nativeCopy() function of the CUDARTypes.h header, avoiding the need to register a new cudaEvent, as it has been done using the old function.
– deprecate the use of the CUDADriver’s cudaEventCreateWithFlags() function. You should use directly the cudaEventCreate() function.

Release Notes:
– deprecated the use of the CUDADriver’s native

JCuda can be used to create applications that require deep access to the CUDA runtime
JCuda can be used to create OpenGL applications that require deep access to the CUDA runtime

For Java, the JCuda Project provides API support for interacting with the CUDA runtime. The JCuda library is compatible with the Java 6 Compilation Standard.

JCuda got a good coverage on GotoPI, it is one of the main runtime, it support NVIDIA Tesla, Fermi and C2050 GPUs.
GotoPI is a runtime that you may download, and compile it. A runtime in use by the OpenJTA project.

JCuda’s latest release is :

Version : 4.1.2.1 (05/11/2017)

License : MIT License

The project is under active development and a new release will be out every 3 months.

References :

You may also be interested in this other question: How to use OpenGL in Java with JCuda?

Q:

java.lang.AssertionError: Unexpected Exception: java.lang.OutOfMemoryError thrown by mongodb

I’m trying to insert a couple hundred documents into my mongodb datastore, but I keep getting java.lang.AssertionError: Unexpected Exception: java.lang.OutOfMemoryError. I have verified that there is plenty of free memory available to the jvm when the program runs. I’m running it using java -jar my_code.jar. Here is the stacktrace:
java.lang.AssertionError: Unexpected Exception:
java.lang.OutOfMemoryError
at com.mongodb.BasicDBObject.(BasicDBObject.java:99)
at com.mongodb.DBCollection.add(DBCollection.java:82)
at my_code.MyJavaClass$MyInsert$1.insert(MyJavaClass.java:92)
at my_code.MyJavaClass$MyInsert.insert(MyJavaClass.java:66)
at my_code.MyJavaClass.insert(MyJavaClass.java:101)

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Minimum:
OS: OS X 10.8 or later.
CPU: 1.8 GHz Intel Core 2 Duo
RAM: 2 GB
Disk Space: 4 GB
Graphics: Intel HD 4000 or newer
Recommended:
OS: OS X 10.9 or later.
CPU: 2.2 GHz Intel Core i5
RAM: 4 GB
Graphics: Intel HD 5500 or newer
If you encounter any issues installing the game on OS X 10.9, please

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