Georgios Goumas
Title
Cited by
Cited by
Year
Performance evaluation of the sparse matrix-vector multiplication on modern architectures
G Goumas, K Kourtis, N Anastopoulos, V Karakasis, N Koziris
The Journal of Supercomputing 50 (1), 36-77, 2009
952009
Optimizing sparse matrix-vector multiplication using index and value compression
K Kourtis, G Goumas, N Koziris
Proceedings of the 5th conference on Computing frontiers, 87-96, 2008
942008
Understanding the performance of sparse matrix-vector multiplication
G Goumas, K Kourtis, N Anastopoulos, V Karakasis, N Koziris
16th Euromicro Conference on Parallel, Distributed and Network-Based …, 2008
812008
CSX: an extended compression format for spmv on shared memory systems
K Kourtis, V Karakasis, G Goumas, N Koziris
ACM SIGPLAN Notices 46 (8), 247-256, 2011
692011
Minimizing completion time for loop tiling with computation and communication overlapping
G Goumas, A Sotiropoulos, N Koziris
Proceedings 15th International Parallel and Distributed Processing Symposium …, 2000
642000
An efficient code generation technique for tiled iteration spaces
G Goumas, M Athanasaki, N Koziris
IEEE Transactions on Parallel and Distributed Systems 14 (10), 1021-1034, 2003
472003
Improving the performance of multithreaded sparse matrix-vector multiplication using index and value compression
K Kourtis, G Goumas, N Koziris
2008 37th International Conference on Parallel Processing, 511-519, 2008
422008
Perfomance models for blocked sparse matrix-vector multiplication kernels
V Karakasis, G Goumas, N Koziris
2009 International Conference on Parallel Processing, 356-364, 2009
392009
A comparative study of blocking storage methods for sparse matrices on multicore architectures
V Karakasis, G Goumas, N Koziris
2009 International Conference on Computational Science and Engineering 1 …, 2009
392009
An extended compression format for the optimization of sparse matrix-vector multiplication
V Karakasis, T Gkountouvas, K Kourtis, G Goumas, N Koziris
IEEE Transactions on Parallel and Distributed Systems 24 (10), 1930-1940, 2012
382012
Employing transactional memory and helper threads to speedup Dijkstra's algorithm
K Nikas, N Anastopoulos, G Goumas, N Koziris
2009 International Conference on Parallel Processing, 388-395, 2009
302009
Exploiting compression opportunities to improve SpMxV performance on shared memory systems
K Kourtis, G Goumas, N Koziris
ACM Transactions on Architecture and Code Optimization (TACO) 7 (3), 1-31, 2010
262010
LCA: A memory link and cache-aware co-scheduling approach for CMPs
AH Haritatos, G Goumas, N Anastopoulos, K Nikas, K Kourtis, N Koziris
2014 23rd International Conference on Parallel Architecture and Compilation …, 2014
212014
An overview of platforms for cloud based development
G Fylaktopoulos, G Goumas, M Skolarikis, A Sotiropoulos, I Maglogiannis
SpringerPlus 5 (1), 38, 2016
192016
Compiling tiled iteration spaces for clusters
G Gournas, N Drosinos, M Athanasaki, N Koziris
Proceedings. IEEE International Conference on Cluster Computing, 360-369, 2002
192002
Automatic parallel code generation for tiled nested loops
G Goumas, N Drosinos, M Athanasaki, N Koziris
Proceedings of the 2004 ACM symposium on Applied computing, 1412-1419, 2004
182004
Performance analysis and optimization of sparse matrix-vector multiplication on modern multi-and many-core processors
A Elafrou, G Goumas, N Koziris
2017 46th International Conference on Parallel Processing (ICPP), 292-301, 2017
172017
BONSEYES: platform for open development of systems of artificial intelligence
T Llewellynn, MM Fernández-Carrobles, O Deniz, S Fricker, A Storkey, ...
Proceedings of the Computing Frontiers Conference, 299-304, 2017
172017
Exploring the effect of block shapes on the performance of sparse kernels
V Karakasis, G Goumas, N Koziris
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-8, 2009
172009
Porting FEASTFLOW to the Intel Xeon Phi: lessons learned
I Venetis, G Goumas, M Geveler, D Ribbrock
Techn. Univ., Fak. für Mathematik, 2015
162015
The system can't perform the operation now. Try again later.
Articles 1–20