graph-parallel systemsingress timeexecution timeDistributed graph computation is central to applications ranging from language processing to social networks. However, natural graphs tend to have skewed power-law distrbutions where a small subset of the vertices have a large number of neighbors. Existing...
By connecting several machines together, more computation power, memory, and I/O bandwidth can be accessed. Distributed computing can be implemented in a variety of ways. For example, groups of workstation interconnected by an appropriate high-speed network (abbreviated to cluster) may even provide...
rounds of communications on any graph g ( v , e ) with \(n=|v|\) vertices and maximum degree at most \(\vardelta \ge 9\) , where \(\vardelta \) may be unbounded. neither of the algorithms abuses the power of the \(\mathsf {local}\) model: each message is of \(o(\...
Figure 1 depicts the performance on the PowerLaw Clus- tered graph [18] of size 1,000 with 4 partitions. This is one of our synthetic graphs where the model is intended to capture power law graphs observed in nature. The lower bound pro- vided by METIS is 58.9% of the edges cut, ...
A fix has been applied to thegraph summary bar, which now correctly represents licensing limits. Previously, incorrect negative values caused confusion about licensing constraints, but this fix ensures clear and accurate quota representation. We have alsoimproved chart legends, making them more readable...
The problem of edge-cut method is that it cannot avoid load imbalance for typical graphs that follow the power law distribution [19]. We explain the detail more in the vertex-cut method part. Vertex-cut method The vertex-cut method is another type of partitioning technique that attempts to ...
HashGrid: An optimized architecture for accelerating graph computing on FPGAs 2025, Future Generation Computer Systems Citation Excerpt : Indeed, the irregularity of graphs makes it challenging to balance workload during graph partitioning, especially when graphs follow the power-law distribution, such ...
& You, F. Quantum computing for energy systems optimization: challenges and opportunities. Energy 179, 76–89 (2019). Article Google Scholar Harrigan, M. et al. Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor, arXiv:2004.04197v1 (2020). ...
Sebastian Heil, Maxim Bakaev, Martin Gaedke (2021): Conference Paper"Web User Interface as a Message: Power Law for Fraud Detection in Crowdsourced Labeling" Dang Vu Nguyen Hai, Christoph Göpfert, André Langer, Sebastian Heil, Martin Gaedke (2021): Electronic Source"TUCfis: A holistic rese...
the SKIP+ graph has an advantage that it isself-stabilizing, i.e., can recover from any initial state (as long as it is weakly connected). Jacob et al. [15] assume (as do we) that the adversary rests while the network converges to a SKIP+ graph. It was shown in [2] that skip...