The future of computing beyond Moore's Law
J Shalf - Philosophical Transactions of the Royal Society …, 2020 - royalsocietypublishing.org
Moore's Law is a techno-economic model that has enabled the information technology
industry to double the performance and functionality of digital electronics roughly every 2 …
industry to double the performance and functionality of digital electronics roughly every 2 …
The landscape of exascale research: A data-driven literature analysis
S Heldens, P Hijma, BV Werkhoven… - ACM Computing …, 2020 - dl.acm.org
The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …
systems capable of at least one quintillion (billion billion) floating-point operations per …
An obstacle avoidance approach for UAV path planning
The recent pandemic of COVID-19 has proven to be a test case for Unmanned Aerial
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Vehicles (UAVs). UAVs have shown great potential for plenty of applications in the face of …
Cryogenic computing complexity program: Phase 1 introduction
MA Manheimer - IEEE Transactions on Applied …, 2015 - ieeexplore.ieee.org
The ultimate goal of the Intelligence Advanced Research Projects Activity (IARPA)'s
Cryogenic Computing Complexity (C3) program is to demonstrate a complete …
Cryogenic Computing Complexity (C3) program is to demonstrate a complete …
Trends in data locality abstractions for HPC systems
The cost of data movement has always been an important concern in high performance
computing (HPC) systems. It has now become the dominant factor in terms of both energy …
computing (HPC) systems. It has now become the dominant factor in terms of both energy …
Exploiting multiple levels of parallelism in sparse matrix-matrix multiplication
Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-
performance graph algorithms as well as for some linear solvers, such as algebraic …
performance graph algorithms as well as for some linear solvers, such as algebraic …
Confronting grand challenges in environmental fluid mechanics
Environmental fluid mechanics underlies a wealth of natural, industrial, and, by extension,
societal challenges. In the coming decades, as we strive towards a more sustainable planet …
societal challenges. In the coming decades, as we strive towards a more sustainable planet …
Silicon photonics for extreme scale systems
High-performance systems are increasingly bottlenecked by the growing energy and
communications costs of interconnecting numerous compute and memory resources …
communications costs of interconnecting numerous compute and memory resources …
HammingMesh: a network topology for large-scale deep learning
Numerous microarchitectural optimizations unlocked tremendous processing power for
deep neural networks that in turn fueled the AI revolution. With the exhaustion of such …
deep neural networks that in turn fueled the AI revolution. With the exhaustion of such …
Sunway supercomputer architecture towards exascale computing: analysis and practice
J Gao, F Zheng, F Qi, Y Ding, H Li, H Lu, W He… - Science China …, 2021 - Springer
In recent years, the improvements of system performance and energy efficiency for
supercomputers have faced increasing challenges, which create more intensive demands …
supercomputers have faced increasing challenges, which create more intensive demands …