I've read in the CUDA Programming Guide that the global memory in a CUDA device is accessed by transaction on 32, 64 or 128 bit. Knowing that, is there any advantage of, say, having an set of float4 (128 bit) close together in memory? As I understand it, whether the float4 are distributed in memory or in a sequence, the number of transaction will be the same. Or will all access be coalesced in one gigantic transaction?
If each piece of data take 128 bit or more, is there any advantage of grouping them in memory?
164 Views Asked by subb At
1
There are 1 best solutions below
Related Questions in MEMORY
- DataTable does not release memory
- Impala Resource Estimation for queries with Group by
- Is there any way to get a lru list in Linux kernel?
- C# console application - Unhandled exception while finding the Available and free Ram space.Getting exact answer in windows forms application
- Allowed memory size of 134217728 bytes exhausted (tried to allocate 32 bytes) in PHP
- C# equivalent of Java Memory mapping methods
- How to figure out the optimal fetch size for the select query
- Creating two arrays with malloc on the same line
- Using parse.com and having allocation memory issue
- error reading variable: cannot access memory at address
- CentOS memory availability
- Correct idiom for freeing repr(C) structs using Drop trait
- Find Ram/Memory manufacturer in Linux?
- Profiling memory usage on App Engine
- Access Violation: 0xC0000005, why is this happening?
Related Questions in CUDA
- direct global memory access using cuda
- Threads syncronization in CUDA
- Merge sort using CUDA: efficient implementation for small input arrays
- why cuda kernel function costs cpu?
- How to detect NVIDIA CUDA Architecture
- What is the optimal way to use additional data fields in functors in Thrust?
- cuda-memcheck fails to detect memory leak in an R package
- Understanding Dynamic Parallelism in CUDA
- C/CUDA: Only every fourth element in CudaArray can be indexed
- NVCC Cuda 5.0 on Ubuntu 12.04 /usr/lib/libudt.so file format not recognized
- Reduce by key on device array
- Does CUDA include a real c++ library?
- cuMemcpyDtoH yields CUDA_ERROR_INVALID_VALUE
- Different Kernels sharing SMx
- How many parallel threads i can run on my nvidia graphic card in cuda programming?
Related Questions in COALESCING
- Xeon Phi: Impossible to achieve perfect memory coalescing and fully utilize SMID units?
- Fill the NAs values in a dataframe based on calculation of columns in other dataframe
- How to convert multiple set of column to single column in pandas?
- If each piece of data take 128 bit or more, is there any advantage of grouping them in memory?
- HLSL: Memory coalescing with structured buffers
- Swift nil coalescing operator with array
- Is coalesced memory access a feature or phenomenon?
- clojure: can I define an implicit conversion possility?
- OpenCl matrix transposition with memory coalescing
- objective-c how to batch multiple read operations
- How can you cause a javascript Object to be treated as falsy?
- Request coalescing in Redis
- How can I use coalescing operator in Haxe?
- Lazily coalesce Options in Scala
- Cuda - selective memory store
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Coalescing refers to combining memory requests from individual threads in a warp into a single memory transaction.
A single memory transaction is typically a 128 byte cache line, therefore it would consist of eight 128 bit (e.g.
float4) quantities.So, yes, there is a benefit to having multiple threads requesting adjacent 128 bit quantities, because these can still be coalesced into a single (128 byte) cache line request to memory.