Unified Addressing 5. Context Management.

Stream synchronization behavior 4. External Resource Interoperability 5. Graph Management. Texture Object Management 5. Deprecated List. Memory Management. Stream synchronization behavior. If I did in fact make a mistake in my understanding of intra-warp behavior that should flush it out. Device Management. Accelerating Spark 3.

Error Handling 5. That is a fairly frequent scenario in my experience, as programmers have a tendency to consider whatever works with current software as specified and guaranteed behavior, even if the specification actually disagrees. Direct3D 9 Interoperability 5. Graph Management. EGL Interoperability 5. Peer Context Memory Access 5. Stream memory operations. Primary Context Management. Version Management.

CUeglFrame 6. EGL Interoperability 6. Peer Device Memory Access. Data types used by CUDA driver 5. Surface Object Management. Texture Object Management. API synchronization behavior. That is a fairly frequent scenario in my experience, as programmers have a tendency to consider whatever works with current software as specified and guaranteed behavior, even if the specification actually disagrees.

CUaccessPolicyWindow 6. Memory Management. However, it soon became apparent that this is a somewhat cumbersome interface, especially as far as the complexity of host code for kernel launches is concerned. Thousands of applications developed with CUDA have been deployed to GPUs in embedded systems, workstations, datacenters and in the cloud. Context Management. Profiler Control. CUDA 8. Execution Control.

Context Management 5. Downloads Training Ecosystem Forums. The two APIs exist largely for historical reasons. Memory Management 5. Unified Addressing. What is the difference between runtime and driver API? Device Management 5. Error Handling 5. Visual Profiler. CUkernelNodeAttrValue 6.

Particularly, some pointers should not be overwritten. Data types used by CUDA driver. I was the first user of the runtime API when it became available about 6. What is the difference between runtime and driver API? However, it soon became apparent that this is a somewhat cumbersome interface, especially as far as the complexity of host code for kernel launches is concerned. CUDA accelerates applications across a wide range of domains from image processing, to deep learning, numerical analytics and computational science. Error Handling 5. Difference between the driver and runtime APIs 2. Deprecated List. Download Now.

Stream Management. CUdevprop 6. You'll also find code samples, programming guides, user manuals, API references and other documentation to help you get started. Unified Addressing. Graph object thread safety. Error Handling 5. CUmemAccessDesc 6. Event Management. Graph object thread safety.

Data Structures. Memory Management. Deprecated List. Data types used by CUDA driver. However, it soon became apparent that this is a somewhat cumbersome interface, especially as far as the complexity of host code for kernel launches is concerned. Modules 5. I believe these issues have been resolved, and at this time I would not recommend that people start any new development based on the driver API. Since its inception, the CUDA ecosystem has grown rapidly to include software development tools, services and partner-based solutions. Surface Object Management 5. Graph object thread safety.

Data Structures 6. Event Management 5. Watch Now. However, it soon became apparent that this is a somewhat cumbersome interface, especially as far as the complexity of host code for kernel launches is concerned. Direct3D 10 Interoperability. Version Management. OpenGL Interoperability. CUmemAllocationProp 6. You may also want to download the complete, compileable JCuda runtime API sample from the samples page that shows how to use the runtime libraries.

I was the first user of the runtime API when it became available about 6. Thousands of applications developed with CUDA have been deployed to GPUs in embedded systems, workstations, datacenters and in the cloud. Graph object thread safety. CUmemAllocationProp 6. Data Fields 8. Module Management. Unified Addressing 5. Developer Blog.

Profiler Control 5. Stream memory operations. Data Structures 6. Watch the GTC Keynote. How could a newer driver make a difference for an existing CUDA application? OpenGL Interoperability 5. That is a fairly frequent scenario in my experience, as programmers have a tendency to consider whatever works with current software as specified and guaranteed behavior, even if the specification actually disagrees. When I have the time will generate a reproduce-able test application, because there may be a problem with warp synchronous behavior updating shared memory.

Version Management 5. Peer Device Memory Access 5. Watch the GTC Keynote. Graph Management. Virtual Memory Management 5. You may obtain the latest version of JCuda in the Downloads section. CUDA accelerates applications across a wide range of domains from image processing, to deep learning, numerical analytics and computational science. Error Handling. Downloads Training Ecosystem Forums. The two APIs exist largely for historical reasons.

Graph object thread safety 5. Version Management. Difference between the driver and runtime APIs 2. Peer Device Memory Access. Version Management 5. CUeglFrame 6. Deprecated List. Execution Control 5. Virtual Memory Management 5. Texture Object Management 5.

Data types used by CUDA driver 5. Event Management 5. Device Management 5. I believe these issues have been resolved, and at this time I would not recommend that people start any new development based on the driver API. External Resource Interoperability. The basic approach is to use half-precision for storage, and do computation in single-precision. Profiler Control. Download Now. Profiler Control 5.

CUmemAccessDesc 6. EGL Interoperability 5. Version Management 5. In GPU-accelerated applications, the sequential part of the workload runs on the CPU — which is optimized for single-threaded performance — while the compute intensive portion of the application runs on thousands of GPU cores in parallel. Graphics Interoperability. I have CUDA 8. Direct3D 9 Interoperability. Memory Management 5. Event Management 5. OpenGL Interoperability.

In , a team of researchers led by Ian Buck unveiled Brook, the first widely adopted programming model to extend C with data-parallel constructs. That is a fairly frequent scenario in my experience, as programmers have a tendency to consider whatever works with current software as specified and guaranteed behavior, even if the specification actually disagrees. CUaccessPolicyWindow 6. EGL Interoperability. Data Structures 6. Libraries cuRAND. However, it soon became apparent that this is a somewhat cumbersome interface, especially as far as the complexity of host code for kernel launches is concerned. Profiler Control.

Graph object thread safety. Unified Addressing. Since its inception, the CUDA ecosystem has grown rapidly to include software development tools, services and partner-based solutions. CUipcMemHandle 6. Execution Control. Direct3D 11 Interoperability 5. How could a newer driver make a difference for an existing CUDA application? Thousands of applications developed with CUDA have been deployed to GPUs in embedded systems, workstations, datacenters and in the cloud. The CUDA Toolkit includes libraries, debugging and optimization tools, a compiler and a runtime library to deploy your application. Difference between the driver and runtime APIs.

Stream synchronization behavior 4. Direct3D 11 Interoperability. You may also want to download the complete, compileable JCuda runtime API sample from the samples page that shows how to use the runtime libraries. External Resource Interoperability. Unified Addressing 5. Stream synchronization behavior 4. External Resource Interoperability 5. CUmemLocation 6. Peer Device Memory Access 5. Graph Management 5.

Graph object thread safety 5. EGL Interoperability 6. Version Management 5. What is the difference between runtime and driver API? OpenGL Interoperability 5. Stream Management 5. Event Management 5. When I have the time will generate a reproduce-able test application, because there may be a problem with warp synchronous behavior updating shared memory.

Researchers and scientists rapidly began to apply the excellent floating point performance of this GPU for general purpose computing. External Resource Interoperability. Graphics Interoperability. Graph Management. OpenGL Interoperability. Watch Now. Data Structures 6. What is the difference between runtime and driver API? Event Management. CUarrayMapInfo 6.

Stream Management. Texture Object Management. There is support for textures using half-floats, and to my knowledge this is not limited to the driver API. Device Management. I am resurrecting this thread because I am still trying to figure out the source of some weirdness in warp behavior updating shared memory. CUmemLocation 6. It is likely that a couple of instances of this occur with every new driver release. Texture Object Management. Watch Now.

Data Fields 8. Error Handling 5. Module Management. I am resurrecting this thread because I am still trying to figure out the source of some weirdness in warp behavior updating shared memory. Event Management 5. CUDA Toolkit v Direct3D 10 Interoperability. Peer Context Memory Access. Watch Now. Context Management 5.

Unified Addressing 5. EGL Interoperability. Table of Contents 1. I believe these issues have been resolved, and at this time I would not recommend that people start any new development based on the driver API. Profiler Control. CUaccessPolicyWindow 6. Memory Management. Graph Management 5.

Graph Management. CUDA Zone. Texture Object Management. I am resurrecting this thread because I am still trying to figure out the source of some weirdness in warp behavior updating shared memory. Watch Now. Math Library. Texture Object Management 5. Surface Object Management 5. Unified Addressing 5. Execution Control 5.

CUmemLocation 6. Unified Addressing. Surface Object Management. Modules 5. Data Fields 8. Table of Contents 1. Direct3D 10 Interoperability. I have CUDA 8. Downloads Training Ecosystem Forums.

JCuda is the common platform for all libraries on this site. Math Library. For a transitional period of time lasting until about CUDA 3. CUmemLocation 6. Graphics Interoperability. Surface Object Management 5. Difference between the driver and runtime APIs 2. API synchronization behavior 3. Profiler Control 5. You may obtain the latest version of JCuda in the Downloads section.

Data Structures 6. External Resource Interoperability. Memory Management 5. I have CUDA 8. Data Fields 8. Event Management. Peer Device Memory Access 5. External Resource Interoperability.

Data Fields 8. Modules 5. Accelerating Spark 3. Error Handling 5. Error Handling 5. Thanks for the response. Version Management. Direct3D 9 Interoperability 5. Event Management.

I did find a way to guarantee the correct behavior on using either CUDA 7. Graph Management. Stream callbacks are currently not supported. Is it also possible through the runtime API? Stream Management 5. EGL Interoperability. Texture Object Management 5. API synchronization behavior 3.

Graphics Interoperability. Context Management 5. Surface Object Management. Context Management. It is likely that a couple of instances of this occur with every new driver release. Direct3D 9 Interoperability. Direct3D 11 Interoperability. Peer Device Memory Access 5. Event Management.