Archive of posts tagged: Memory
Data Analytics on GPUs with Fast, Coherent Interconnects
GPUs have outgrown their role as dedicated graphics processing units and are now a prominent, mainstream platform for general-purpose parallel computing. Evidence of the growing popularity of GPUs can be seen in cloud vendors offering GPU instances for cents per hour,...
Optical Random Access Memory
The memory wall has been a crucial power and performance bottleneck for computing systems. The growing gap between processor and memory speeds limits the energy-efficiency and performance of almost all forms of computing systems. As technology scales down, the speed...
Highlights From Persistent Programming In Real Life (PIRL) 2019
On July 22-23rd, UC San Diego’s Non-Volatile Systems Laboratory and the Storage Networking Industry Association (SNIA) hosted the first Persistent Programming In Real Life (PIRL). PIRL is a new meeting devoted to gathering and sharing real-world, practical expertise...
