With the advent of multicores, parallel programming has gained a lot of importance. For parallel programming to be viable for the predicted hundreds of cores per chip, shared memory programming languages and environments must evolve to enforce disciplined practices like ``determinism-by-default semantics'' and ban ``wild shared-memory behaviors'' like arbitrary data races and potential non-determinism everywhere. This evolution can not only benefit software development, but can also greatly reduce the complexity in hardware. DeNovo is a hardware architecture designed from the ground up to exploit the opportunities exposed by such disciplined software models to make the hardware much simpler and efficient at the same time. This t...
As technology continues to scale, the memory hierarchy in processors is predicted to be a major comp...
As the benefits from transistor scaling slow down, specialization is becoming increasingly important...
New architectures for extreme-scale computing need to be designed for higher energy efficiency than ...
With the advent of multicores, parallel programming has gained a lot of importance. For parallel pr...
As multicore systems become widespread, both software and hardware face a major challenge in efficie...
As multicore systems become widespread, both software and hardware face a major challenge in effi-ci...
We believe that future large-scale multicore systems will require disciplined parallel programming ...
We believe that future large-scale multicore systems will require disciplined parallel programming p...
Cache coherency is crucial to multi-core systems with a shared memory programming model. Coherency p...
Power consumption is one of the most important factors in the design of today’s processor chips. Mul...
Cache coherence is one of the main challenges to tackle when designing a shared-memory multiprocesso...
For power and performance reasons, multicores have become the dominant microprocessor architecture. ...
Number of cores in multi-core processors is steadily increased to make it faster and more reliable. ...
Current shared-memory hardware is complex and ineffi-cient. Prior work on the DeNovo coherence proto...
We argue that OS-provided data coherence on non-cache-coherent NUMA multiprocessors (machines with a...
As technology continues to scale, the memory hierarchy in processors is predicted to be a major comp...
As the benefits from transistor scaling slow down, specialization is becoming increasingly important...
New architectures for extreme-scale computing need to be designed for higher energy efficiency than ...
With the advent of multicores, parallel programming has gained a lot of importance. For parallel pr...
As multicore systems become widespread, both software and hardware face a major challenge in efficie...
As multicore systems become widespread, both software and hardware face a major challenge in effi-ci...
We believe that future large-scale multicore systems will require disciplined parallel programming ...
We believe that future large-scale multicore systems will require disciplined parallel programming p...
Cache coherency is crucial to multi-core systems with a shared memory programming model. Coherency p...
Power consumption is one of the most important factors in the design of today’s processor chips. Mul...
Cache coherence is one of the main challenges to tackle when designing a shared-memory multiprocesso...
For power and performance reasons, multicores have become the dominant microprocessor architecture. ...
Number of cores in multi-core processors is steadily increased to make it faster and more reliable. ...
Current shared-memory hardware is complex and ineffi-cient. Prior work on the DeNovo coherence proto...
We argue that OS-provided data coherence on non-cache-coherent NUMA multiprocessors (machines with a...
As technology continues to scale, the memory hierarchy in processors is predicted to be a major comp...
As the benefits from transistor scaling slow down, specialization is becoming increasingly important...
New architectures for extreme-scale computing need to be designed for higher energy efficiency than ...