Abstract 3D scene representations have gained immense popularity in recent years.
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …

Cloud Computing is an emerging computing paradigm. It shares massively scalable, elastic
resources (eg, data, calculations, and services) transparently among the users over a …

Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC
applications because it not only significantly reduces storage overhead but also can retain …

Modern warehouse-scale computers (WSCs) are being outfitted with accelerators to provide
the significant compute required by emerging intelligent personal assistant (IPA) workloads …

As technology scales, GPUs are forecasted to incorporate an ever-increasing amount of
computing resources to support thread-level parallelism. But even with the best effort …

To aid application characterization and architecture design space exploration, researchers
and engineers have developed a wide range of tools for CPUs, including simulators …

Although multicore is now a mainstream architecture, there are few textbooks that cover
parallel multicore architectures. Filling this gap, Fundamentals of Parallel Multicore …

In a GPU, all threads within a warp execute the same instruction in lockstep. For a memory
instruction, this can lead to memory divergence: the memory requests for some threads are …

This paper introduces a new resource virtualization framework, Zorua, that decouples the
programmer-specified resource usage of a GPU application from the actual allocation in the …

The key to high performance on GPUs lies in the massive threading to enable thread
switching and hide the latency of function unit and memory access. However, running with …