Achieving high application performance depends on the combination of memory footprint, instruction mix and order, and memory access patterns. Most memory benchmarks which provide information on the achieved memory performance are confined to simple access patterns that are not representative of patterns found in real applications. We present AdaptMemBench, a configurable benchmark framework designed to explore the performance capabilities of compute kernels extracted from applications. AdaptMemBench provides a framework to emulate application-specific memory access patterns. The build system accommodates the polyhedral model, which provides a convenient testbed for code optimizations. AdaptMemBench supports reproducibility in experimental r...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Memory bandwidth has become the performance bottleneck for memory intensive programs on modern proce...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Achieving high application performance depends on the combination of memory footprint, instruction m...
Benchmarking high performance computing systems is crucial to optimize memory consumption and maximi...
The multicore era has initiated a move to ubiquitous parallelization of software. In the process, co...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Tuning the performance of applications requires understanding the interactions between code and targ...
The gap between peak and delivered performance for scientific applications running on microprocesso...
The gap between peak and delivered performance for scientific applications running on microprocessor...
The growing gap between processor and memory speeds has lead to complex memory hierarchies as proces...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
Tuning the performance of applications requires understanding the interactions between code and targ...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance tuning, as carried out by compiler designers and application programmers to close the pe...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Memory bandwidth has become the performance bottleneck for memory intensive programs on modern proce...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Achieving high application performance depends on the combination of memory footprint, instruction m...
Benchmarking high performance computing systems is crucial to optimize memory consumption and maximi...
The multicore era has initiated a move to ubiquitous parallelization of software. In the process, co...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Tuning the performance of applications requires understanding the interactions between code and targ...
The gap between peak and delivered performance for scientific applications running on microprocesso...
The gap between peak and delivered performance for scientific applications running on microprocessor...
The growing gap between processor and memory speeds has lead to complex memory hierarchies as proces...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
Tuning the performance of applications requires understanding the interactions between code and targ...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance tuning, as carried out by compiler designers and application programmers to close the pe...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Memory bandwidth has become the performance bottleneck for memory intensive programs on modern proce...
Applications may have unintended performance problems in spite of compiler optimizations, because of...