26,098 papers · page 245 of 1,305
Over the most recent years, quantized graph neural network (QGNN) attracts lots of research and industry attention due to its high robustness and low computation and memory overhead. Unfortunately, the performance gains of QGNN have never been realized on modern GPU platforms. To…
We present ParGeo, a multicore library for computational geometry algorithms. We describe two of the algorithms from ParGeo, convex hull and the smallest enclosing ball, and present a short evaluation of all implementations currently in ParGeo.
Non-volatile random access memory (NVRAM) offers byte-addressable persistence at speeds comparable to DRAM. However, with caches remaining volatile, automatic cache evictions can reorder updates to memory, potentially leaving persistent memory in an inconsistent state upon a syst…
Programming languages using functions on collections of values, such as map, reduce, scan and filter, have been used for over fifty years. Such collections have proven to be particularly useful in the context of parallelism because such functions are naturally parallel. However, …
As a fundamental factorization operation, the singular value decomposition (SVD) plays a paramount role in abroad range of domains such as scientific computing and machine learning. Due to its computational bottleneck of factorization for small matrices in real-world applications…
The emergence of heterogeneous memory (HM) provides a cost-effective and high-performance solution to memory-consuming HPC applications. However, using HM, wisely migrating data objects on it is critical for high performance. In this work, we introduce a load balance-aware page m…
We present GASS, an LLVM-based open-source compiler for NVIDIA GPU's SASS machine assembly. GASS is the first open-source compiler targeting SASS, and it provides a unified toolchain for currently fragmented low-level performance research on NVIDIA GPUs. GASS supports all recent …
Concurrent B+trees have been widely used in many systems from file systems to databases. With the volume of data requests expanding exponentially, the systems are facing tremendous performance pressure. GPUs have shown their potential to accelerate the concurrent B+trees operatio…
Performance variance is a serious problem for parallel applications, which can cause performance degradation and make applications' behavior hard to understand. Therefore, detecting and diagnosing performance variance are of crucial importance for users and application developers…
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Abstract Software-verification tools sometimes produce incorrect answers, which can be a false alarm or a wrong claim of correctness. To increase the reliability of verification results, many verifiers now accompany their answers by witnesses in an interoperable standard format. …
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