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Computer Architecture Group
iarpa agile

iARPA AGILE

The AGILE program seeks innovative, energy-efficient, and reliable computer architectures that can address the Intelligence Community’s large-scale data-analytic applications, as well as other classes…

opennicshell

Berkeley eXtensible Processing Engine (BXPE)

With experimental facilities data production rates exponentially increasing, there is a greater need to move computation closer to the experimental source. To this end, we have developed the Berkeley …

PARADISE++ Flow

PARADISE++

PARADISE++ is an open-source comprehensive methodology to evaluate emerging technologies with a vertical simulation flow from the individual device level all the way up to the architectural level.

SCRL

Superconducting Race Logic Accelerators

The aim of this project is to make computation in superconducting circuits as efficient as possible by re-using computing architectures inspired by traditional technologies into superconducting logic.

Traffic Graph

Mobiliti

Mobiliti is a proof-of-concept, scalable transportation system simulator that implements parallel discrete event simulation on high-performance computers

pine

PINE

The PINE interconnect (Photonically Interconnected datacenter Elements) allows compute, memory or storage modules to be flexibly combined through one-model-fits-all embedded photonic connectivity and b…

Open2CArch

Open2C

Open2C aims to provide a powerful yet flexible and easy-to-extend tool that enables exploring coherent cache memory subsystem for upcoming large-scale computing systems.

QUASARIce

QUASAR Ice

To pave the way towards future quantum accelerators adoption, we propose to define several abstraction levels throughout the entire control hardware stack that starts with comprehensive software-hardw…

 

Mission

The Computer Architecture Group is focused on delivering continued increases in performance to all scientific application areas through the development, programming, and utilization of advanced computing architectures. These architectures may be deployed anywhere within a scientific workflow - spanning from within an HPC data center to edge computing devices deployed remotely in the field. In addition, we seek to bring HPC tools and techniques to new application areas ranging from biosciences to transportation models.

Research

iarpa agile

iARPA AGILE

The fundamental problem with current computer architectures is their inefficiency at operating on sparse, time-varying data that is randomly distributed across the system. The AGILE program seeks to solve this problem by developing new system-level…
opennicshell

Berkeley eXtensible Processing Engine (BXPE)

With experimental facilities data production rates exponentially increasing, there is a greater need to move computation closer to the experimental source. To this end, we have developed the Berkeley eXtensible Processing Engine (BXPE) Framework,…
PARADISE++

PARADISE++

In this project, we propose to build a post-Moore HPC (High-Performance Computing) system simulation framework to enable large scale simulations of post-Moore architectures built using emerging devices and technologies. With the HPC systems…
SCRL

Superconducting Race Logic Accelerators

The aim of this project is to make computation in superconducting circuits, circuits that operate around 4K temperatures and have close to zero resistance, as efficient as possible. Many approaches today try to re-use computing…
LS3DF

DFT Beyond Moore’s Law: Extreme Hardware Specialization for the Future of HPC

The project goal is to demonstrate the performance potential of purpose-built architectures as potential future for HPC applications in absence of Moore’s Law. Our approach is to reformulate the LS3DF algorithm to make it amenable to specialized…

Publications

Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning

August 23, 2021

Experiences Porting the SU3_Bench Microbenchmark to the Intel Arria 10 and Xilinx Alveo U280 FPGAs

April 26, 2021

Understanding Quantum Control Processor Capabilities and Limitations through Circuit Characterization

December 1, 2020