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ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming
Found in: IEEE Computer Architecture Letters
By Youngsok Kim,Jaewon Lee,Donggyu Kim,Jangwoo Kim
Issue Date:July 2013
pp. 1
Programmer-managed GPU memory is a major challenge in writing GPU applications. Programmers must rewrite and optimize an existing code for a different GPU memory size for both portability and performance. Alternatively, they can achieve only portability by...
 
GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management
Found in: 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA)
By Youngsok Kim,Jaewon Lee,Jae-Eon Jo,Jangwoo Kim
Issue Date:February 2014
pp. 546-557
GPU programmers suffer from programmer-managed GPU memory because both performance and programmability heavily depend on GPU memory allocation and CPU-GPU data transfer mechanisms. To improve performance and programmability, programmers should be able to p...
   
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