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One of the important characteristics of emerging multicores/manycores is the existence of “shared on-chip caches,” through which different threads/processes can share data (help each other) or displace each other’s data (hurt each other). Most of current commercial multicore systems on the market have on-chip cache hierarchies with multiple layers (typically, in the form of L1, L2 and L3, the last...
Future multicore architectures are likely to include a large number of cores connected using an on-chip network with Non-uniform Cache Access (NUCA). In such architectures, whether a data request is satisfied from a local cache or a remote cache can make an important difference. To exploit this NUCA property, prior research explored both architectural enhancements as well as compiler-based code optimization...
Optimizing cache locality has always been important since the emergence of caches, and numerous cache locality optimization schemes have been published in compiler literature. However, in modern architectures, cache locality is not the only factor that determines memory system performance. Many emerging multicores employ banked memory systems and each bank is attached a row-buffer that holds the most-recently...
After hitting the power wall, the dramatic change in computer architecture from single core to multicore/manycore brings us new challenges on high performance computing, especially for the data intensive applications. Sparse matrix-vector multiplication (SpMV) is one of the most important computations in this area, and has therefore received a lot of attention in recent decades. In contrast to the...
The emergence of multicore platforms offers several opportunities for boosting application performance. These opportunities, which include parallelism and data locality benefits, require strong support from compilers as well as operating systems. Current compiler research targeting multicores mostly focuses on code restructuring and mapping. In this work, we explore automatic data layout transformation...
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