Shared memory architectures have recently experienced a large increase in thread-level
parallelism, leading to complex memory hierarchies with multiple cache memory levels and …

With rapid advances in network hardware, far memory has gained a great deal of traction
due to its ability to break the memory capacity wall. Existing far memory systems fall into one …

To harness a heterogeneous memory hierarchy, it is advantageous to integrate application
knowledge in guiding frequent memory move, ie, replicating or migrating virtual memory …

Recent work has shown that building GPUs with hundreds of SMs in a single monolithic chip
will not be practical due to slowing growth in transistor density, low chip yields, and …

Both NUMA thread/data placement and hardware prefetcher configuration have significant
impacts on HPC performance. Optimizing both together leads to a large and complex design …

Current multi-socket systems have complex memory hierarchies with significant Non-
Uniform Memory Access (NUMA) effects: memory performance depends on the location of …

Non-Uniform Memory Access (NUMA) architectures are widely used in mainstream multi-
socket computer systems to scale memory bandwidth. Without a NUMA-aware design …

The parallel execution model of GPUs enables scaling to hundreds of thousands of threads,
which is a key capability that many modern high-performance applications exploit. GPU …

Evolving requirements may necessitate API migration-re-engineering an application to
replace its dependence on one API with the dependence on another API for the same …

As demands for memory-intensive applications continue to grow, the memory capacity of
each computing node is expected to grow at a similar pace. In high-performance computing …