It may have been true once that expertise in computer science was needed only by computer scientists. But Big Data has shown us that’s no longer the case. The war against cancer is increasingly moving into cyberspace, and it is … Continue reading
Projects
ASPIRE lab pledges to use and develop open-source software and hardware, and it is the intention of all ASPIRE lab researchers that any software and hardware will be released under an open-source license, such as modified BSD or Apache 2.0.
Chisel: Constructing Hardware in a Scala Embedded Language
Chisel is a new open-source hardware construction language developed at UC Berkeley that supports advanced hardware design using highly parameterized generators and layered domain-specific hardware languages. Chisel is embedded in the Scala programming language, which raises the level of hardware … Continue reading
DIABLO: Datacenter-In-A-Box at Low Cost
DIABLO is a wind tunnel for datacenter built with FPGAs, simulating O(10,000) datacenter servers and O(1,000) switches for O(100) seconds. DIABLO executes real instructions and moves real bytes. It runs the full Linux operating system and unmodified datacenter software stack. … Continue reading
GAP: Graph Algorithm Platform
The Berkeley Graph Algorithm Platform (GAP) Project spans the entire stack, and it aims to accelerate graph algorithms through software optimization and hardware acceleration. Graph algorithms are becoming increasingly important, with applications covering a wide range of scales. Warehouse-scale computers … Continue reading
SEJITS: Selective, Embedded, Just-in-Time Specialization
Application writers require 3-10x fewer lines of code and can develop 3-5x faster when using productivity-layer languages (PLLs) like Ruby or Python rather than efficiency-layer languages (ELLs) like C or C++, and they don’t need to internalize new programming models … Continue reading