Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …

We propose Graviton, an architecture for supporting trusted execution environments on
GPUs. Graviton enables applications to offload security-and performance-sensitive kernels …

Accurate simulation is essential for the proper design and evaluation of any computing
platform. Upon the current move toward the CPU-GPU heterogeneous computing era …

Duality Cache is an in-cache computation architecture that enables general purpose data
parallel applications to run on caches. This paper presents a holistic approach of building …

Graphics processing units (GPUs) have become a very powerful platform embracing a
concept of heterogeneous many-core computing. However, application domains of GPUs …

Tuning code for GPGPU and other emerging many-core platforms is a challenge because
few models or tools can precisely pinpoint the root cause of performance bottlenecks. In this …

Abstract Graphical Processing Unit provides massive parallelism due to the presence of
hundreds of cores. Usage of GPUs for general purpose computation (GPGPU) has resulted …

Programs written for GPUs often contain correctness errors such as races, deadlocks, or
may compute the wrong result. Existing debugging tools often miss these errors because of …

Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each
device: the GPU handles data parallel work by taking advantage of its massive number of …

The inability to predict lasting languages and architectures led us to develop OCCA, a C++
library focused on host-device interaction. Using run-time compilation and macro …