Searching for authors named "Kornilios Kourtis" – sorted by Relevance.

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8 documents found, showing 1 through 8.

Optimizing Sparse Matrix-Vector Multiplication Using Index and Value Compression ∗
by Kornilios Kourtis
…Previous research work has identified memory bandwidth as the main bottleneck of the ubiquitous Sparse Matrix-Vector Multiplication kernel. To attack this problem, we aim at reducing the overall data volume of the algorithm. Typical sparse matrix representation schemes store only the nonzero element…
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Exploring the Capacity of a Modern SMT Architecture to Deliver High Scientific Application Performance ⋆
by Evangelia Athanasaki, Nikos Anastopoulos, Kornilios Kourtis, Nectarios Koziris
…Abstract. Simultaneous multithreading (SMT) has been proposed to improve system throughput by overlapping instructions from multiple threads on a single wide-issue processor. Recent studies have demonstrated that heterogeneity of simultaneously executed applications can bring up significant performa…
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Tuning Blocked Array Layouts to Exploit Memory Hierarchy in SMT Architectures
by Evangelia Athanasaki, Kornilios Kourtis, Nikos Anastopoulos, Nectarios Koziris
…Abstract. Cache misses form a major bottleneck for memory-intensive applications, due to the significant latency of main memory accesses. Loop tiling, in conjunction with other program transformations, have been shown to be an effective approach to improving locality and cache exploitation, especial…
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General Terms
by Kornilios Kourtis, Georgios Goumas, Nectarios Koziris
…Previous research work has identified memory bandwidth as the main bottleneck of the ubiquitous Sparse Matrix-Vector Multiplication kernel. To attack this problem, we aim at reducing the overall data volume of the algorithm. Typical sparse matrix representation schemes store only the nonzero element…
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Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication using Index and Value Compression
by Kornilios Kourtis, Georgios Goumas, Nectarios Koziris
…Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth requirements. To decrease memory contention and improve the performance of the kernel we propose two compression schemes. Th…
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Understanding the performance of sparse matrix-vector multiplication
by Georgios Goumas, Kornilios Kourtis, Nikos Anastopoulos, Vasileios Karakasis, Nectarios Koziris — 2008 — In PDP ’08: Proceedings of the 16th Euromicro International Conference on Parallel, Distributed and Network-based Processing
…In this paper we revisit the performance issues of the widely used sparse matrix-vector multiplication (SpMxV) kernel on modern microarchitectures. Previous scientific work reports a number of different factors that may significantly reduce performance. However, the interaction of these factors with…
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multithreading for memory intensive applications
by J Supercomput, Evangelia Athanasaki, Nikos Anastopoulos, Kornilios Kourtis, Nectarios Koziris, E. Athanasaki, N. Anastopoulos, K. Kourtis, N. Koziris, N. Anastopoulos, K. Kourtis, N. Koziris
…Exploring the performance limits of simultaneous…
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Global-scale peer-to-peer file services with DFS
by Antony Chazapis, Georgios Tsoukalas, Georgios Verigakis, Kornilios Kourtis, Aristidis Sotiropoulos, Nectarios Koziris
…Abstract — The global inter-networking infrastructure that has become essential for contemporary day-to-day computing and communication tasks, has also enabled the deployment of several large-scale data sharing overlays. Communities collaboratively aggregate and distribute file and storage resources…
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