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Emerging non-volatile memory (NVM) technologies have DRAM-like latency with storage-like density, offering unique capability to analyze large data sets significantly faster than flash or disk storage. However, the hybrid nature of these NVM technologies such as phase-change memory (PCM) make it difficult to use them to best advantage in the memory-storage hierarchy. These NVMs lack the fast write...
Data-intensive applications are best suited to high-performance computing architectures that contain large quantities of main memory. Creating these systems with DRAM-based main memory remains costly and power-intensive. Due to improvements in density and cost, non-volatile random access memories (NVRAM) have emerged as compelling storage technologies to augment traditional DRAM. This work explores...
Processing large graphs is becoming increasingly important for many domains such as social networks, bioinformatics, etc. Unfortunately, many algorithms and implementations do not scale with increasing graph sizes. As a result, researchers have attempted to meet the growing data demands using parallel and external memory techniques. We present a novel asynchronous approach to compute Breadth-First-Search...
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